Explore 6 ai python software engineer jobs from 2 hiring companies in Adelanto, CA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Ai Python Software Engineer Jobs

Esri

Niagara Bottling

Savvas Learning Company

Onsite

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<div style="margin: 0px; padding: 0px;">Savvas Learning Company is a global education company that produces award-winning learning solutions that empower educators and engage students with the highest quality content.</div>
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<div style="margin: 0px; padding: 0px;">Recognized as an industry leader, we serve millions of K-12 learners with innovative, student-centered educational programs that turn today&rsquo;s classrooms into active learning environments. By embracing technology, personalized learning, and immersive experiences delivered across multiple platforms, we design our learning solutions to be more accessible and relevant to each student.</div>
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<div style="margin: 0px; padding: 0px;">Our comprehensive solutions for core curriculum, and supplemental and intervention programs - supported by an array of professional development services - allow teachers to use data to inform classroom practices and tailor instructions to an individual&rsquo;s abilities and learning styles.</div>
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<div style="margin: 20px 0px 0px; padding: 0px; color: #393839; font-family: Arial, Helvetica, sans-serif; font-size: 12px; background-color: #ffffff;">Savvas Learning Company is a next-generation learning company that combines new ideas, new ways of thinking, and new ways of interacting to create innovative K-12 solutions. Savvas carries on a longstanding tradition of delivering the most engaging, innovative curriculum that has transformed the way students learn, accelerating their growth and improving their outcomes.</div>
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Do you want to impact the way millions of students experience education and learning? Come join Savvas - the number one provider of core curricula in the country. Savvas Learning Company is the industry leader in delivering the highest-quality educational materials. Savvas&rsquo;s flagship K-12 solution Savvas Realize, is one of the edtech industry&rsquo;s most versatile learning management systems (LMS), and was honored in both the primary and secondary education categories as a technology solution that is key to helping schools transition to remote, hybrid, and blended learning environments.&nbsp; You will be part of an exciting team and work on products that are used by students every day. We are looking for engineers who are passionate about building innovative applications of the highest quality, realizing real value from AI and demonstrating ownership of the product area assigned to them. 
Responsibilities
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Partner with business stakeholders to translate product vision into technical and data requirements for AI-powered solutions, advising on what's achievable, what's risky, and what requires further investigation.
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Own LLM application engineering (prompting + RAG + tool use + evaluation + guardrails + orchestration) as a core technical discipline, driving iterative optimization in partnership with subject matter experts.
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Define and oversee evaluation frameworks for AI-powered features, coordinating with subject matter experts to ensure inference quality, safety, and alignment with pedagogical standards
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Evolve production monitoring and regression testing for inference quality, cost, and latency, driving iterative improvements post-release.
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Evaluate emerging technologies and drive adoption of best-in-class tools and frameworks, incorporating their capabilities into the platform.
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Lead a globally distributed team and drive sound engineering design, implementation, quality, deployment and monitoring practices on AI-powered microservices and products.
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Architect distributed systems to ensure high availability, low latency, and fault tolerance.
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Leverage AWS services such as Bedrock, Lambda, ECS, DynamoDB, RDS, and S3 to build cloud-native solutions.
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Enforce security best practices across the codebase and AWS infrastructure, implementing defense-in-depth strategies and driving timely risk mitigation and remediation of vulnerabilities.
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Drive code automation practices across the team to ensure maintainability and extensibility
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Maintain hands-on involvement through prototyping, POCs, and direct contribution to critical implementations.
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Provide technical mentorship to engineering teams and conduct code and architecture reviews.
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Contribute to the organization's AI Center of Excellence by developing reference implementations, documentation, and best practices, while tracking the evolving AI landscape and identifying the right moments to introduce new capabilities.
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Collaborate with cross-functional teams, including frontend engineers, product managers, and operations teams, to align on technical solutions. 
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Qualifications
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Master&rsquo;s or Bachelor&rsquo;s degree in Computer Science or equivalent experience, with strong fundamentals and problem-solving skills
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We are looking for people with a long track record of success in delivering high-quality software. For this role, you should have at least 8 years of experience in software development roles and five years of experience working in an agile environment.
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We are seeking a candidate with 2+ years of experience with LLMs/generative AI applications, including production deployment experience.
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We need someone with a track record of balancing innovation speed with production reliability
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Three years of Python development experience is required, along with experience shipping Node-based services and/or modern web frontends (Angular preferred).
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We run a distributed microservices-based architecture in the cloud focused on APIs and event-driven design. Experience in deploying and maintaining production software in AWS is required. 
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Skills
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Software Design, Implementation (i.e., coding), and Testing.
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Solid understanding of ML/AI data practices: dataset curation, validation, and evaluation design.
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Experience with agent architectures, RAG, and tool-use patterns in production LLM applications is a plus.
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Proficient in database development in relational and NoSQL, Postgres and Amazon DynamoDB preferred.
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Understanding of Cloud Architecture and experience working with AWS resources, including cloud networking and security fundamentals.
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Strong, creative problem-solving and troubleshooting skills are a must, as is the ability to coach junior team members in these areas with proven ability to drive adoption of new processes and tools.
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Must assimilate information, distill knowledge, apply experience, and provide solution alternatives and recommendations.
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Must have strong time management skills - including the ability to work well under pressure, plan, set priorities across multiple projects, adapt to change, and meet established timelines.
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Effective written and verbal communication skills.
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AWS certification is a plus (Cloud Practitioner or higher)
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Experience in education technology or other high-stakes domains is a plus.
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Rubicon, A Savvas Learning Company provides access to a benefits experience created to offer our employees choice, flexibility, and the opportunity to save money for the future. Benefits include medical, dental, vision, pharmacy, life insurance, disability insurance, matching RRSP, and paid time off. Our benefits are part of a total package that is carefully designed to support the total well-being of our employees.
At Savvas, compensation is only one part of our total rewards package. We invest in our employees with a rewards package that combines compensation, exceptional benefits and wellness programs in addition to opportunities for professional growth. This role may also be eligible for bonus or incentive compensation. The posted hiring range reflects our good faith estimate at the time of posting and remains subject to modification. Compensation is determined by factors such as but not limited to skills, experience, budget, and internal equity. Rubicon, a Savvas Learning Company&nbsp;<span style="box-sizing: inherit; margin: var(--artdeco-reset-base-margin-zero); padding: var(--artdeco-reset-base-padding-zero); border: var(--artdeco-reset-base-border-zero); font-size: 14px; vertical-align: var(--artdeco-reset-base-vertical-align-baseline); background-color: #ffffff; outline: var(--artdeco-reset-base-outline-zero); color: rgba(0, 0, 0, 0.9); white-space-collapse: collapse;">is in accordance with the Accessibility for Ontarians with Disabilities Act, 2005 and the Ontario Human Rights Code. <span style="font-family: -apple-system, system-ui, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica Neue, Fira Sans, Ubuntu, Oxygen, Oxygen Sans, Cantarell, Droid Sans, Apple Color Emoji, Segoe UI Emoji, Segoe UI Emoji, Segoe UI Symbol, Lucida Grande, Helvetica, Arial, sans-serif;">&nbsp;

Principal Software Developer, Applied AI

Principal Software Developer

8+ years in software development; 5+ years agile; 2+ years with LLMs/generative AI; strong Python; AWS; distributed microservices; experience in education technology a plus.

Overview
Join our team in building the next generation of AI capabilities across our geospatial software products, supporting indoor mapping and reality, roadway and utility GIS, and system observability solutions. Our team develops scalable, high-performance software that brings advanced spatial intelligence and automation to complex operational environments.
As a Software Development Engineer II focused on AI innovation, you will help research, prototype, and integrate AI technologies, including Large Language Models (LLMs), Computer Vision, and Multimodal Systems—into real-world applications. You will work closely with cross-functional engineering and product teams to deliver innovative features that improve workflows, automation, and user experience.
If you are passionate about geospatial technology, AI, and building practical solutions from emerging technologies, this is the place to grow your career.
Responsibilities
<ul>
<li>Research and prototype AI-driven features for geospatial software products</li>
<li>Integrate LLMs, computer vision, and AI services into existing applications</li>
<li>Develop tools that automate workflows for indoor mapping and indoor reality creation, roadway and utility GIS, and GIS system observability</li>
<li>Assist in model evaluation, benchmarking, and performance testing</li>
<li>Contribute to spec-driven development and AI-assisted coding workflows</li>
<li>Collaborate with cross-functional teams to deliver AI-powered features</li>
<li>Document experiments, prototypes, and technical approaches</li>
<li>Present findings on work; synthesize and address feedback</li>
<li>Participate in software quality and code review processes</li>
</ul>
Requirements
<ul>
<li>2+ years of professional software development experience evaluating, prototyping, and integrating AI technologies and approaches into software solutions</li>
<li>Strong proficiency in Python</li>
<li>Strong understanding and the ability to develop software algorithms</li>
<li>Working knowledge of JavaScript or TypeScript</li>
<li>Experience building or integrating APIs and services</li>
<li>Database knowledge, including SQL and data modeling</li>
<li>Strong analytical and problem-solving skills</li>
<li>Effective communication and teamwork abilities</li>
<li>Bachelor's degree in Computer Science, Software Engineering or a related STEM field</li>
</ul>
Recommended Qualifications
<ul>
<li>Experience building RAG (Retrieval-Augmented Generation) systems
<ul>
<li>Familiarity with semantic search and vector databases</li>
</ul>
</li>
<li>Experience with computer vision models, such as:
<ul>
<li>SAM (Segment Anything Model)</li>
<li>YOLO family of models</li>
<li>DINO (Distillation with No Labels)</li>
</ul>
</li>
<li>Experience with Gaussian Splatting</li>
<li>Experience working with LLMs, such as:
<ul>
<li>ChatGPT / OpenAI models</li>
<li>Claude</li>
<li>Gemini</li>
<li>Llama</li>
</ul>
</li>
<li>Experience with image and video feature tracking and extraction</li>
<li>Familiarity with Model Context Protocol (MCP) usage or development</li>
<li>Basic experience with C++</li>
<li>Familiarity with geospatial data formats, GIS concepts, and/or ArcGIS</li>
<li>Experience or exposure to spec-driven development or AI-assisted coding</li>
<li>Master's degree in Computer Science, Software Engineering or a related STEM field</li>
</ul>
#LI-DR5
#LI-Onsite<div class="content-pay-transparency"><div class="pay-input"><div class="description">Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.</div><div class="title">A reasonable estimate of the base salary range is</div><div class="pay-range">$97,760&mdash;$163,280 USD</div></div></div><div class="content-conclusion">The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website <a href="https://www.esri.com/en-us/racial-equity/overview#engage-communities" target="_blank">here</a>.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email <a href="mailto:askcareers@esri.com">askcareers@esri.com</a> and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
<a href="https://www.esri.com/en-us/privacy/overview">Esri Privacy</a> Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.</div>

Software Development Engineer II - AI Software Components

Software Development Engineer II

2+ years of software development experience with AI technologies; Python proficiency; API/service experience; SQL and data modeling; strong problem-solving and teamwork.

Overview
At Esri, our users come first. With thousands of customers and millions of users worldwide, we want your help building the next generation of ArcGIS Enterprise, a suite of products delivering state-of-the-art mapping and analytics capability. Our team builds cutting-edge, highly scalable, and reliable distributed software for on-premises and the cloud to make maps, geographic information, and analyses available on any device, anywhere, at any time.
As a Software Engineer with focus on Agentic AI development, you will build and operate intelligent, goal driven features within production software systems. In this role, you will apply strong software engineering fundamentals to ship reliable software embedding agentic AI capabilities into APIs, services, and applications that scale, integrate cleanly with existing systems, and meet product and operational requirements.
Responsibilities
<ul>
<li>Design, implement and own production features and services that support agentic AI behavior</li>
<li>Develop backend systems, APIs, and data integrations that support agentic workflows as scale</li>
<li>Add logging, metrics, and tracing to ensure systems are observable and debuggable in production</li>
<li>Collaborate with product, design, and platform teams to translate workflows and requirements into technical solutions</li>
<li>Participate actively in code reviews, design discussions, and security reviews</li>
</ul>
Requirements
<ul>
<li>1+ years professional software engineering experience, with strong proficiency in Python or a similar backend language</li>
<li>Experience designing and operating production services or distributed systems</li>
<li>Hands on experience using LLMs or generative AI APIs in real applications</li>
<li>Solid understanding of agentic AI patterns, including tool use, task decomposition, planning, and feedback loops</li>
<li>Experience integrating with REST APIs, databases, queues, and third party services</li>
<li>Experience with observability and evaluation of AI systems (logging, tracing, offline or online evaluation)</li>
<li>Ability to reason about scalability, latency, reliability, and cost trade offs</li>
<li>Clear written and verbal communication skills, with attention to detail</li>
<li>Bachelor's degree in computer science, engineering, or related field</li>
</ul>
Recommended Qualifications
<ul>
<li>Experience using agentic AI or orchestration frameworks (such as LangChain/LangGraph, CrewAI, and more)</li>
<li>Familiarity with cloud infrastructure, containerization, and CI/CD pipelines</li>
<li>Demonstrated ability to learn and apply emerging AI tools and patterns quickly</li>
<li>Exposure to ArcGIS Enterprise, ArcGIS Online or other geospatial technologies</li>
</ul>
#LI-TA1
#LI-Onsite<div class="content-pay-transparency"><div class="pay-input"><div class="description">Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.</div><div class="title">A reasonable estimate of the base salary range is</div><div class="pay-range">$79,040&mdash;$133,016 USD</div></div></div><div class="content-conclusion">The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website <a href="https://www.esri.com/en-us/racial-equity/overview#engage-communities" target="_blank">here</a>.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email <a href="mailto:askcareers@esri.com">askcareers@esri.com</a> and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
<a href="https://www.esri.com/en-us/privacy/overview">Esri Privacy</a> Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.</div>

Software Development Engineer I – Agentic AI, ArcGIS Enterprise

Software Development Engineer I

1+ years software engineering with Python or similar backend language; production services or distributed systems; experience with LLMs or generative AI APIs; agentic AI patterns; REST APIs, databases, queues; observability; scalability and cost tradeoffs; Bachelor's in CS/Engineering.

Overview
Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. The Imagery and Remote Sensing team is applying cutting-edge techniques to revolutionize Imagery visualization and Analysis. We are passionate about applying imagery science and artificial intelligence to solve some of the world’s biggest challenges.
Our team develops tools, APIs, and AI models for Analysts and Data Scientists, enabling them to leverage the latest research in imagery science, remote sensing, and AI. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software.
As a Product Engineer, you will play a key role in ensuring the quality and usability of our imagery and remote sensing tools, models, and libraries. You will design and implement test plans, write test code, and validate software, SDKs, and AI models to help deliver robust, high-quality products to our customers. This will also include performing, documenting, and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, and gathering requirements. If you are passionate about imagery and remote sensing and communicate effectively via writing and presentations, this is the place to be!
Responsibilities
<ul>
<li>Develop and implement test plans for new features and bug fixes to maintain product quality</li>
<li>Review and analyze test results; report status on software quality and stability; test and certify software, SDK, and AI model quality</li>
<li>Work closely with account managers and software developers to understand customer requirements and help formulate appropriate Imagery and Remote Sensing solutions for various industry scenarios</li>
<li>Collaborate with software developers on software project teams to help build new software and plan for future releases</li>
<li>Help test new Imagery processing and analysis user experiences, workflows, and analytics using customer data</li>
<li>Help develop the future roadmap for Imagery and Remote Sensing support in all relevant ArcGIS products</li>
<li>Support technology demonstrations for industry events &nbsp;</li>
<li>Act as a technical point of contact for industry business partners and integrators to ensure Esri interoperability</li>
</ul>
Requirements
<ul>
<li>2+ years of industry experience in a software development or QA environment, preferably product-based or geospatial consulting companies</li>
<li>Strong understanding of image analysis and remote sensing techniques</li>
<li>Hands-on experience in QA processes, implementing test plans, developing or managing test automation, and product certification</li>
<li>Familiarity with GIS concepts, spatial data, and geospatial workflows</li>
<li>Basic understanding of machine learning, deep learning, and AI Prompt Engineering</li>
<li>Effective project management, time management, and organizational skills</li>
<li>Technical writing skills and experience authoring samples, blog posts, and product documentation</li>
<li>Bachelor's degree in GIS, geography, engineering, computer science, math, or related fields</li>
</ul>
Recommended Qualifications
<ul>
<li>Master's degree in GIS, geography, engineering, computer science, math, or related fields</li>
<li>Strong knowledge of software QA methodologies, tools, and processes</li>
<li>Experience working in an Agile/Scrum development process</li>
<li>Hands-on experience with the ArcGIS suite of products or open-source GIS software</li>
<li>Experience with remote sensing, satellite imagery, and multispectral image analysis</li>
<li>Experience designing modern desktop user experiences</li>
</ul>
#LI-TA1
#LI-Onsite<div class="content-pay-transparency"><div class="pay-input"><div class="description">Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.</div><div class="title">A reasonable estimate of the base salary range is</div><div class="pay-range">$76,960&mdash;$128,544 USD</div></div></div><div class="content-conclusion">The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website <a href="https://www.esri.com/en-us/racial-equity/overview#engage-communities" target="_blank">here</a>.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email <a href="mailto:askcareers@esri.com">askcareers@esri.com</a> and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
<a href="https://www.esri.com/en-us/privacy/overview">Esri Privacy</a> Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.</div>

Imagery Product Engineer II – Imagery and Remote Sensing

Imagery Product Engineer II

2+ years in software development or QA; knowledge of image analysis, remote sensing, QA processes, GIS concepts, ML/AI basics; strong writing and organization; BS in GIS/geography/engineering/CS/math or related field.

At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.Consider applying here, if you want to:   <ul><li>Work in an entrepreneurial and dynamic environment with a chance to make an impact.   </li><li>Develop lasting relationships with great people.   </li><li>Have the opportunity to build a satisfying career.</li></ul>We offer competitive compensation and benefits packages for our Team Members.Robotics &amp; AI Systems Development Engineer IIPosition SummaryThe Robotics &amp; AI Systems Development Engineer II plays a foundational role in advancing Niagara’ Bottling LLC’s autonomous manufacturing strategy through the deployment of quadruped and Humanoid robotics and intelligent AI systems across bottle manufacturing maintenance operations.This position is responsible for designing, programming, and deploying robotic systems while simultaneously developing scalable fleet management platforms and AI-driven manufacturing intelligence solutions. The role extends beyond robotics control to include AI architecture design, intelligent agent development, predictive and prescriptive maintenance systems, and enterprise-level integration across manufacturing ecosystems.This is a high-impact, cross-functional engineering role requiring strong technical depth, system-level thinking, and the ability to communicate complex solutions effectively to diverse audiences including operations (Manufacturing plants), IT, systems Engineering, and executive leadership.Key Responsibilities1. Robotics Software Development &amp; Autonomous Systems· Design, develop, and deploy control systems for quadruped robots operating in active manufacturing environments.· Develop autonomous inspection routines, navigation logic, and mission orchestration.· Integrate and optimize sensor systems including thermal imaging, acoustic sensors, vibration monitoring, LiDAR, and vision systems.· Implement edge-based decision-making frameworks for real-time anomaly detection.· Ensure operational robustness in industrial bottling environments (wet floors, dynamic obstacles, tight production spaces).2. Fleet Management Platform Development· Architect and develop scalable fleet management software to manage multiple robotic assets across facilities.· Design mission scheduling, battery optimization, health monitoring, and alerting systems.· Develop cloud-edge synchronization frameworks for real-time data exchange.· Integrate robotic data outputs into enterprise systems including CMMS, ticketing platforms (e.g., mCAPA), historians, and analytics platforms.· Establish secure API-based integration models and microservices architecture where appropriate.3. AI Architecture &amp; Intelligent Manufacturing Agents· Design and deploy AI-driven agents supporting:o Condition-Based Maintenance (CBM)o Predictive Maintenance (PdM)o Prescriptive Maintenanceo Intelligent Diagnostics and Root Cause Analysis· Develop time-series anomaly detection models for manufacturing asset health monitoring.· Build LLM-enabled operator assistants and decision-support systems tailored to manufacturing workflows.· Implement MLOps practices including model lifecycle management, monitoring, retraining, and governance.· Support digital twin and manufacturing intelligence initiatives.4. Industrial Systems Integration· Integrate robotic and AI systems with PLC/SCADA platforms and industrial communication protocols (OPC-UA, MQTT, Modbus, TCP/IP).· Design standardized data acquisition frameworks across diverse asset families (blowers, fillers, conveyors, utilities).· Ensure system performance, reliability, cybersecurity, and scalability.· Support pilot deployments and enterprise-scale rollouts.5. Technical Communication &amp; Cross-Functional Leadership· Prepare and deliver technical presentations tailored to varied audiences including plant operations, engineering teams, IT leadership, and executive stakeholders.· Translate complex AI and robotics concepts into measurable business value and ROI narratives.· Participate in design reviews and strategic roadmap discussions.· Support change management initiatives during technology adoption.Required QualificationsEducationBachelor’s or Master’s degree in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Artificial Intelligence, or a related technical discipline.Experience· 3–6 years of experience in robotics systems, AI engineering, or industrial automation.· Demonstrated experience deploying solutions in real-world operational environments.· Experience designing production-grade software systems beyond prototype development.Technical CompetenciesRobotics &amp; Software Engineering· Proficiency in ROS2 or equivalent robotics frameworks.· Strong programming skills in Python and/or C&#43;&#43;.· Experience with motion planning, SLAM, perception pipelines, and computer vision.AI &amp; Machine Learning· Experience developing and deploying machine learning models (time-series modeling preferred).· Knowledge of LLM integration, embeddings, prompt engineering, and retrieval-augmented architectures.· Familiarity with MLOps, CI/CD pipelines, and model versioning.Systems &amp; Industrial Technologies· Understanding of PLC/SCADA platforms and industrial communication protocols.· Experience integrating edge systems with cloud analytics platforms.· Familiarity with manufacturing data environments and asset monitoring systems.Professional Competencies· Strong analytical and systems-thinking mindset.· Ability to operate independently in ambiguous, high-growth technical environments.· Excellent written and verbal communication skills.· Ability to translate technical depth into business outcomes.· Collaborative and cross-functional working style.· Successful deployment of quadruped robotics in pilot plant(s).· Delivery of minimum viable fleet management platform.· Integration of robotic outputs into enterprise maintenance systems.· Deployment of at least one AI-based predictive model in production.· Presentation of executive-level roadmap for robotics and AI scale strategy.Travel RequirementEstimated 20–40% based on deployment and plant support needs.Typical Compensation RangePay Rate Type: Salary$100,464.14 - $145,673.02 / YearlyBenefitsOur Total Rewards package is thoughtfully designed to support both you and your family:Regular full-time team members are offered a comprehensive benefits package, while part-time, intern, and seasonal team members are offered a limited benefits package.<ul><li>Paid Time Off for holidays, sick time, and vacation time</li><li>Paid parental and caregiver leaves</li><li>Medical, including virtual care options</li><li>Dental</li><li>Vision</li><li>401(k) with company match</li><li>Health Savings Account with company match</li><li>Flexible Spending Accounts</li><li>Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members</li><li>Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements</li><li>Income protection including Life and AD&amp;D, short and long-term disability, critical illness and an accident plan</li><li>Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc. </li><li>Tuition reimbursement, college savings plan and scholarship opportunities</li><li>And more!</li></ul><a href="https://careers.niagarawater.com/us/en/benefits" target="_blank">https://careers.niagarawater.com/us/en/benefits</a>* *Los Angeles County applicants only** Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws.Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees.

Robotics & AI Systems Development Engineer II

3–6 years in robotics/AI or industrial automation; degree in a related engineering field; experience deploying production-grade software.

At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.Consider applying here, if you want to:   <ul><li>Work in an entrepreneurial and dynamic environment with a chance to make an impact.   </li><li>Develop lasting relationships with great people.   </li><li>Have the opportunity to build a satisfying career.</li></ul>We offer competitive compensation and benefits packages for our Team Members.Systems Development Engineer I (Advanced Robotics &amp; AI Systems)The Systems Development Engineer I is responsible for engaging with an experienced cross-disciplinary team to conceive, design, and bring to market innovative Predictive Maintenance systems. You will execute the roadmap and drive innovation to help deliver top-notch solutions for our manufacturing teams. You will build robust, secure and scalable infrastructures that will support and protect data, applications and services for Predictive analytics.<ul><li>​Design, construct, install, test and maintain highly scalable data management systems</li><li>Ensure systems meet business requirements and industry practices</li><li>Integrate new data management technologies and software engineering tools into existing structures</li><li>Create custom software components (e.g. specialized UDFs) and analytics applications</li><li>Employ a variety of languages and tools (e.g. scripting languages) to marry systems together</li><li>Recommend ways to improve data reliability, efficiency and quality</li><li>Collaborate with data architects, modelers and IT team members on project goals</li><li>Evaluate and implement changes and improvements to development tool systems</li><li>Work closely with internal and external interdisciplinary teams to drive key aspects of product scope, execution, test and maintain database structures.</li><li>Data Acquisition:<ul><li>Develop automation frameworks that enable efficient data acquisition, post-processing, and test execution</li><li>Develop requirements for data acquisition from manufacturing field assets</li><li>Configure and test data tags into Edge computing platform and ensure stable connections.</li><li>Support readiness reviews and validation to ensure efficient execution.</li><li>Research opportunities for data acquisition and new uses for existing data</li></ul></li><li>Data Wrangling and Modelling:<ul><li>Develop data set processes for data modeling, mining and production</li><li>Design, develop, and test logics to manipulate data for business requirements.</li><li>Join the edited data for further use and analysis.</li><li>Cleanse the data into a usable and functional format and correct/remove any bad data.</li><li>Design and develop requirements to optimize storage of data using mathematical models.</li></ul></li><li>Data Science and Business Intelligence:<ul><li>Engage in statistical and exploratory analysis of datasets using ML techniques</li><li>Use the insights to build robust classification and prediction models.</li><li>Build high-performance algorithms, prototypes, predictive models and proof of concepts</li><li>Test and deploy machine-learning algorithms, publish results and enhance models for accuracy.</li></ul></li><li>Application Development:<ul><li>Understanding requirements and how they translate to new application features</li><li>Collaborating with development team and other IT staff to set specifications for new applications</li><li>Design creative prototypes according to specifications.</li><li>Perform unit and integration testing before launch, Conduct functional and non-functional testing</li><li>Develop technical documents and handbooks to accurately represent application design and code</li></ul></li><li>Process Automation development:<ul><li>Collaborate with IT and Manufacturing Information Systems groups as a part of implementation of projects.</li><li>Selecting features, building and optimizing automation processes using machine learning and data acquisition techniques</li><li>Data mining using state-of-the-art methods</li><li>Extending company’s data with third party sources of information when needed</li><li>Enhancing data collection procedures to include information that is relevant for building analytic systems</li><li>Processing, cleansing, and verifying the integrity of data used for analysis</li><li>Doing ad-hoc analysis and presenting results in a clear manner</li></ul></li><li>Systems Development Engineer I is estimated to travel 20-40%</li><li>Please note this job description is not a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice.</li></ul><h3>(Advanced Robotics &amp; AI Systems)</h3><ul><li>Design and develop AI-driven perception, planning, and control systems for robotic platforms (e.g., humanoid and quadruped robots) in industrial environments</li><li>Integrate robotics software stacks (e.g., ROS/ROS2) with edge computing, sensor fusion (LiDAR, vision, IMU), and real-time decision-making systems</li><li>Develop and deploy machine learning models for robotic autonomy, including object detection, localization (SLAM), motion planning, and adaptive control</li><li>Prototype and validate robotic applications for manufacturing use cases such as inspection, material handling, and predictive maintenance support</li></ul>Work Experience/KSA’s<ul><li>Required:<ul><li>0-2 year(s)  – Experience in Systems Development, Data Science and Analytics or other related fields</li></ul></li></ul>*experience may include a combination of work experience and education<ul><li>Preferred:<ul><li>3-5 years  –   Experience in Systems Development, Data Science and Analytics or other related fields</li></ul></li></ul>*experience may include a combination of work experience and educationEducation<ul><li>Minimum Required: <ul><li>Bachelor&#39;s Degree in Computer Science/Automation or other related fields or equivalent experience</li></ul></li></ul><ul><li>Preferred: <ul><li>Master&#39;s Degree in Computer Science with focus on Data Science and Machine Learning</li></ul></li></ul>Preferred Competencies and Skills<ul><li>Solid understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.</li><li>Preferred experience with common data science toolkits, such as R, Weka, Python with focus on NumPy, Matplotlib and Pandas, MatLab, etc.</li><li>Proficiency in using query languages such as SQL Etc.</li><li>Proficiency in, but not limited to:<ul><li>Microsoft Office Applications – Word, Excel, PowerPoint, Outlook, Project, Visio, etc.</li></ul></li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>Basic understanding of data acquisition and processing tools and techniques and developing algorithms on common platforms to generate outputs</li><li>Basic scripting and programming skills</li><li>Basic understanding of PLC/SCADA systems such SIEMENS S7, ALLEN BRADLEY, BnR, Ignition etc.</li><li>Knowledge of MQTT, TCP/IP, MODBUS RTU, OPC-UA or other related publisher-subscriber communication protocols.</li><li>Able to translate data into recommendable actions to senior management</li><li>Strong analytical and problem solving skills</li><li>Self-motivated with a proven record of taking initiative</li><li>Able to work with minimal supervision</li><li>Detail-oriented with excellent oral and written communication skills</li><li>Able to execute tasks in a very dynamic and ever-changing environment</li><li>Exercise sound judgment and ability to work effectively with a diverse workforce</li></ul><h3>(Robotics &#43; AI Stack)</h3><ul><li>Experience with robotics frameworks and middleware (ROS/ROS2, Gazebo, Isaac Sim)</li><li>Knowledge of robotic perception (computer vision, sensor fusion) and localization techniques (SLAM, visual odometry)</li><li>Familiarity with motion planning and control algorithms (PID, MPC, reinforcement learning for robotics)</li><li>Experience with simulation-to-real (Sim2Real) workflows and digital twin environments</li><li>Programming experience in Python/C&#43;&#43; for robotics applications</li><li>Exposure to humanoid or quadruped robotic platforms (e.g., Boston Dynamics Spot, Unitree, Tesla Optimus–type systems)</li><li>Understanding of real-time systems and embedded computing for robotics (NVIDIA Jetson, edge AI devices)</li></ul>Typical Compensation RangePay Rate Type: Salary$82,011.54 - $118,916.74 / YearlyBenefitsOur Total Rewards package is thoughtfully designed to support both you and your family:Regular full-time team members are offered a comprehensive benefits package, while part-time, intern, and seasonal team members are offered a limited benefits package.<ul><li>Paid Time Off for holidays, sick time, and vacation time</li><li>Paid parental and caregiver leaves</li><li>Medical, including virtual care options</li><li>Dental</li><li>Vision</li><li>401(k) with company match</li><li>Health Savings Account with company match</li><li>Flexible Spending Accounts</li><li>Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members</li><li>Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements</li><li>Income protection including Life and AD&amp;D, short and long-term disability, critical illness and an accident plan</li><li>Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc. </li><li>Tuition reimbursement, college savings plan and scholarship opportunities</li><li>And more!</li></ul><a href="https://careers.niagarawater.com/us/en/benefits" target="_blank">https://careers.niagarawater.com/us/en/benefits</a>* *Los Angeles County applicants only** Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws.Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees.

Systems Development Engineer I (Advanced Robotics & AI Systems)

Systems Development Engineer I

0-2 years in systems development, data science or related fields; 3-5 years preferred in similar roles; bachelor’s in CS/automation or related field; master’s preferred.

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