Explore 3 full stack python developer jobs from 3 hiring companies in Chualar, CA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Full Stack Python Developer Jobs

Driscoll's

MACOM

Neuberger Berman

Onsite

<div>About the Opportunity:</div><div>Driscoll’s is building an AI-assisted R&amp;D capability to modernize how data, software, and decision support come together across breeding, genomics, lab, phenotyping, sensory, and agronomy workflows. This role sits within an emerging R&amp;D IT function embedded in Global R&amp;D and works closely with scientists, breeders, product leads, and Global IS to turn ambiguous scientific needs into production-ready tools. </div><div>We are seeking a versatile engineer who can build end-to-end systems connecting data, applications, and intelligent models. The ideal candidate is comfortable developing scalable services, APIs, modern AI-enabled workflows, and high-quality user experiences while moving fluidly across the stack: PostgreSQL/MySQL, Express/Node.js/TypeScript, React, Python, and FastAPI. </div><div>This is a hands-on role for someone who enjoys rapid experimentation, solving complex problems, and owning solutions from concept through deployment. You will work alongside the R&amp;D IT Product Owner and Full-Stack Engineer to build practical, governed solutions that reduce manual effort, improve decision-making, and embed AI into the flow of work rather than as separate tools. </div><div>Driscoll’s Information Services (IS) department is responsible for maintaining and developing digital services and solutions to support and enable the Driscoll’s business, growers, and customers. Global IS operates in a rapidly changing business environment and has embarked on a significant digital transformation journey.</div><div>The Global Information Services (IS) function operates through a global structure and is organized in departments by IT expertise. This role is located at our corporate headquarters in Watsonville, CA. </div><div>Responsibilities:</div><ul><li>Build end-to-end solutions within the Driscoll’s R&amp;D IT ecosystem, including helping evolve the underlying infrastructure and delivery patterns.</li><li>Design, build, and ship full-stack applications that support R&amp;D workflows and decision-making across breeding, lab, genomics, phenotyping, sensory, and agronomy use cases.</li><li>Develop scalable services, APIs, workflow automations, and modern user interfaces using technologies such as React, TypeScript, Node.js/Express, Python, FastAPI, and relational databases.</li><li>Integrate internal tools, vendor platforms, and off-the-shelf systems through APIs, data flows, authentication/authorization, and workflow automation.</li><li>Build AI-enabled applications such as grounded assistants, retrieval-augmented experiences, workflow copilots, evaluation dashboards, and decision-support interfaces.</li><li>Own the full software lifecycle for what is built: requirements translation, prototyping, development, testing, deployment, monitoring, maintenance, support, and iterative improvement.</li><li>Partner closely with scientists, breeders, analysts, and business stakeholders to translate ambiguous problems into usable, reliable products.</li><li>Help embed AI into real workflows with appropriate traceability, security, auditability, and human oversight.</li><li>Continuously evaluate how modern AI is changing software paradigms, and apply AI tools to improve engineering practices, team productivity, and solution quality.</li><li>Contribute to governed AI delivery by ensuring applications are secure, observable, maintainable, and aligned with approved architecture and data patterns.</li><li>Collaborate with the AI / MLOps Architect on model integration, serving patterns, evaluation flows, observability, and production operations.</li><li>Contribute to architecture discussions, design reviews, backlog shaping, and solution tradeoff decisions.</li><li>Communicate effectively, both verbally and in writing, with technical and non-technical teams.</li><li>Domestic and international travel required up to 10%.</li><li>Represent Driscoll’s in an ethical and professional manner during all interactions with growers, co-workers, suppliers, customers, and the business community at large.</li><li>Ensure the security of Driscoll’s confidential and proprietary information and materials.</li></ul><div>Candidate Profile:</div><ul><li>5+ years of experience in software engineering, full-stack development, or product engineering, including ownership of production systems.</li><li>Expert-level hands-on experience across modern full-stack technologies such as PostgreSQL/MySQL, Node.js/Express, TypeScript, React, Python, and FastAPI.</li><li>Strong software engineering fundamentals, including API design, data modeling, testing strategies, observability, secure design, and maintainable architecture.</li><li>Demonstrated ability to own problems end-to-end and ramp quickly across unfamiliar domains, technologies, and workflows.</li><li>Experience building integrations across internal platforms, vendor systems, APIs, and workflow tooling.</li><li>Experience shipping cloud-based applications with CI/CD, source control, containerization, and modern developer tooling.</li><li>Strong communication skills; able to explain tradeoffs, architecture, and design decisions to both technical and non-technical stakeholders.</li><li>Ability to work effectively in a dynamic, cross-functional environment while living Driscoll’s values of passion, humility, and trustworthiness.</li><li>Strong experience with Microsoft product suite, including Visio, Excel, PowerPoint, Word, Teams, and SharePoint required.</li><li>Travel and after-hours support required.</li></ul><div>Preferred Qualifications:</div><ul><li>Depth in data engineering, ML engineering, or applied data science.</li><li>Experience integrating LLMs into products, including retrieval systems, prompt orchestration, evaluation workflows, fine-tuning patterns, or human-in-the-loop experiences.</li><li>Experience building governed data or AI products with lineage, access controls, audit logs, quality gates, and approval flows.</li><li>Professional experience with DevOps, cloud security, and infrastructure-as-code using tools such as GitHub, Docker, and AWS.</li><li>Exposure to AI pipeline operations such as auto-labeling, validation, model training, deployment, or evaluation.</li><li>Exposure to edge inference, computer vision, or embedded systems is a plus.</li><li>Experience in both in-house development solutions and implementation of vendor-delivered applications preferred.</li><li>Experience with scientific data systems, breeding platforms, lab systems, phenotyping pipelines, or similar R&amp;D/life sciences environments.</li><li>Background in ag-biotech, life sciences, or high-throughput scientific workflows preferred.</li><li>A valid passport and the ability to travel internationally without restrictions. </li></ul><div>Compensation &amp; Benefits:</div><div>The following information is provided in good faith as a general description of the salary range and benefits for the position posted. The actual compensation offered to the successful candidate is dependent upon experience, skills, education, work location, internal pay equity, and other objective job-related factors.</div><div> Salary Range estimated for the AI Engineer (Full Stack) - R&amp;D IT role: $110,210.00/year to $170,000.00/year.</div><div> Driscoll’s is committed to a culture of care and offers an attractive benefits package that varies between our locations. Benefits may include comprehensive medical, dental, and vision coverage, life insurance, and disability coverage for positions working more than 30 hours per week (US). Other benefits may include: 401(k) with employer match, profit-sharing participation, paid sick time, paid vacation, paid personal and family care leave, and a free Employee Assistance Program (EAP). More detailed information regarding the benefits package based on your geographic location will be shared during the application process. </div><div>About Driscoll's:</div><div>Driscoll's is the global market leader for fresh strawberries, blueberries, raspberries and blackberries. With more than 100 years of farming heritage and hundreds of independent growers around the world, Driscoll's is passionate about growing fresh, beautiful and delicious berries. Our values of humility, passion and trustworthiness have guided our mission to delight consumers around the world. Driscoll's exclusive patented berry varieties are developed through years of research using only natural breeding methods – meaning, no GMOs. From farm-to-table, we focus on delivering a high quality, premium berry experience with our many supply chain partners.  Driscoll's is the trusted brand for Only the Finest Berries™.</div>

AI Engineer (Full Stack) - R&D IT (Onsite)

AI Engineer

5+ years in software engineering; full-stack expertise; experience with CI/CD, APIs, and AI-enabled workflows.

The Specialty Finance team is seeking a hands-on technical engineer to build and own a scalable analytics and dashboard platform that tracks deal performance across private credit and specialty finance asset classes. This person will partner closely with the Specialty Finance team and broader technology team to define requirements, build data pipelines and metrics for large data sets, and deliver a web-based portal where dashboards and analytical tools are centrally maintained. The role also includes an opportunity to lead pragmatic AI initiatives and elevate best practices in modern analytics and engineering.You are a builder with a deep understanding of Specialty Finance who enjoys owning products end-to-end—data, analytics, and delivery. You can operate comfortably in an investment environment where requirements evolve, and you can balance speed with quality, controls, and maintainability.Responsibilities:<ul><li>Design, build, and maintain a suite of dashboards that track deal/asset performance, risk, and key portfolio KPIs (e.g., collateral performance, delinquency, prepayment, loss metrics, triggers/covenants, concentrations, vintage curves).</li><li>Build a unified web portal / internal site where dashboards, reports, and self-serve analytics tools are organized, versioned, and accessible with appropriate permissions.</li></ul><ul><li>Act as point of contact for third party data providers to help normalize, and validate deal-level data.</li></ul><ul><li>Support ad-hoc analysis for investment memos, portfolio reviews, and ongoing surveillance.</li></ul><ul><li>Own project plans and delivery cadence: scope, milestones, dependencies, and stakeholder updates.</li><li>Liaise with broader technology team to advocate for Specialty Finance requirements and ensure solutions meet firm standards.</li><li>Work with investment stakeholders and convert them into clear technical specifications and prioritized roadmaps.</li></ul><ul><li>Identify high-impact AI opportunities</li></ul>Required Qualifications<ul><li>10&#43; years of relevant experience as a full-stack engineer specifically in specialty finance, asset-backed finance, private credit, or an adjacent buy-side setting.</li><li>Advanced Python skills for data engineering and analytics (pandas/numpy, API integration, scripting, testing).</li><li>Strong SQL skills and experience building analytics-ready data models with large data sets and hands-on Snowflake experience</li><li>Experience building dashboards and/or data applications (e.g., Streamlit/Dash, Plotly, Power BI/Tableau, or equivalent) with attention to UX for investment professionals.</li><li>Demonstrated project management ability: translating ambiguous needs into shipped products, managing stakeholders, and delivering on timelines.</li><li>Strong communication skills with the ability to work directly with investors and explain technical concepts clearly.</li></ul>Preferred Qualifications<ul><li>Prior experience at a private credit / specialty finance buy-side firm, or direct exposure to loan-level consumer assets (mortgages, credit cards, ABS/RMBS, whole loans, or specialty lending).</li><li>Familiarity with core credit concepts and performance metrics (delinquency/default/loss, prepayment, seasoning, vintage/cohort tracking, credit enhancement/triggers, concentration and covenant monitoring).</li><li>Applied AI/ML experience (not necessarily deep research): using LLMs for workflow automation, document extraction, anomaly detection, or decision-support tooling.</li></ul>Core Technical Stack (Representative)<ul><li>Languages: Python, SQL, React</li><li>Infrastructure: Redhat Openshift, Containers</li><li>Data Warehouse: Snowflake, Microsoft SQL Server</li><li>Visualization / Apps: Streamlit/Dash/Plotly, Tableau</li><li>Version Control &amp; Delivery: Git, Microsoft Azure DevOps</li></ul>#LI-LN1#LI-OnsiteNeuberger Berman is unable to offer visa sponsorship for this position. Applicants must be authorized to work in the United States without the need for current or future sponsorship.Compensation DetailsThe salary range for this role is $120,000-$150,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.<h3></h3><h3>Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company&#39;s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.</h3>Neuberger Berman is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact <a href="mailto:onlineaccommodations&#64;nb.com" target="_blank">onlineaccommodations&#64;nb.com</a>.Learn about the <a href="https://www.nb.com/en/global/disclosure-privacy-policy" target="_blank">Applicant Privacy Notice</a>.

Quantitative Developer / Analytics & Dashboard Engineer

Quantitative Developer

10+ years full-stack engineer in specialty finance; advanced Python; strong SQL; dashboards/data apps; project management; strong communication.

Company Overview: Headquartered in Lowell, Massachusetts, MACOM is certified to the ISO9001 international quality standard and ISO14001 environmental management standard. MACOM has multiple design centers, Si, GaAs and InP fabrication, manufacturing, assembly and test, and operational facilities throughout North America, Europe, Asia and Australia. In addition, MACOM offers foundry services that represents a key core competency within our business. The foundry provides access to, and control of our broad range of proprietary technologies in an asset light, cost effective structure.&nbsp;MACOM sells and distributes products globally via a sales channel comprised of a direct field sales force, authorized sales representatives and leading industry distributors. Our sales team is trained across all of our products to give our customers insights into our entire portfolio.Our global organization of skilled engineers is driven every day to solve the world’s most demanding wireless and wireline application challenges. We’re proud of our more than sixty years’ of hands-on experience designing and building analog semiconductor technology across the RF to Light spectrum.&nbsp;Job Description MACOM is looking for an&nbsp;AI/ML Development Principal Engineer who will play a critical role in the design, development, and deployment of scalable and robust AI agents and agentic solutions throughout the company. You will work with subject matter experts across various business units and functional departments to identify and execute paradigm changing improvements using AI agents, agentic workflows and solutions. You will deploy these AI tool integrations to solve bottlenecks, improve efficiency and productivity, and enable previously undiscovered opportunities. This role requires experience in AI engineering and a record of deployed solutions. We are looking for someone with the ability to apply their expertise to solve real world challenges in semiconductor fabrication, RF and mixed signal circuit design, manufacturing operations, and general front and back-office operations. This is an onsite position working out of MACOM’s office located in either Lowell, MA, Durham, NC or Morgan Hill, CA.&nbsp;Join us and&nbsp;be a champion for the adoption and deployment of AI solutions and help lead MACOM in its next chapter of technology leadership and excellence.Key Responsibilities include:<ul type="disc" style="margin-top: 0in;"> <li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Develop and maintain AI agents and agentic workflows to address real world challenges across all stages of business, development, and operations.</li> <li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Design and deploy agentic AI solutions and workflows that incorporate reasoning, planning, and execution to solve discrete problems in impactful ways.</li> <li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Assess models for optimal speed, accuracy and cost depending on problem domain and complexity. </li> <li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Develop agentic solutions with flexible architectures that can be used or modified to address similar needs across different business units and functions.</li> <li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Collaborate with subject matter experts throughout the company to define key opportunities to deploy AI solutions and assess roadblocks and solutions, including data quality and format, pipeline, verification and workflows.</li> <li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Mentor engineers and non-technical staff, and promote best practices in AI use, agentic systems, and generative AI development.</li></ul>Job Qualifications/Requirements:<ul type="disc" style="margin-top: 0in;"><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.</li><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">7 to 12 years of hands-on experience in AI engineering, including recent, demonstrated expertise in&nbsp;Agentic AI, Generative AI, agent orchestration and workflows.</li><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Expert programming skills in Python and AI development stacks with a focus on agent development.</li><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Expertise in building agentic AI systems and orchestration frameworks. Experience deploying solutions in traditional engineering and manufacturing environments is a plus.</li><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Strong working knowledge of model providers and development ecosystems (OpenAI, Anthropic, AWS Bedrock, etc.).</li><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Solid understanding of scalability, cost, and performance optimization for AI workloads.</li><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Excellent collaboration and communication skills to work across software development, hardware and semiconductor engineering, operations and business teams.</li><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Due to ITAR regulations, only candidates who are U.S. Persons (U.S. citizens, U.S. nationals, lawful permanent residents, or individuals granted asylum or refugee status) will be considered for this position.&nbsp;</li></ul>Benefits:&nbsp;This position offers a comprehensive benefits package including but not limited to:&nbsp;<ul><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Health, dental, and vision insurance.</li><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Employer-sponsored 401(k) plan.</li><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Paid time off.</li><li style="margin-top: 3pt; margin-bottom: 0in; line-height: normal;">Professional development opportunities. </li></ul>EEO: MACOM is an Equal Opportunity Employer committed to a diverse workforce.&nbsp; MACOM will not discriminate against any worker or job applicant on the basis of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, genetic information, veteran status, military service, marital status, or any other category protected under applicable law. Reasonable Accommodation: MACOM is committed to working with and providing reasonable accommodations to qualified individuals with physical and mental disabilities.&nbsp; If you have a disability and are in need of a reasonable accommodation with respect to any part of the application process please call +1-978-656-2500 or email HR_Ops@MACOM.com.&nbsp; Provide your name, phone number and the position title and location in which you are interested, and nature of accommodation needed, and we will get back to you.&nbsp; We also work with current employees who request or need reasonable accommodation in order to perform the essential functions of their jobs.

AI/ML Development Principal Engineer

7-12 years AI engineering experience; expert in agentic AI, Generative AI, and orchestration; strong Python and AI stack skills; experience deploying AI in engineering/manufacturing; ITAR-compliant US Person

Full Stack Python Developer Jobs in Chualar, CA, US | HiringCafe: every job on earth

Full Stack Python Developer Jobs in Chualar, CA, US

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