Jobs at Provectus | HiringCafe

Provectus

AI Solutions Architect (AWS)

AI Solutions Architect

6+ years in ML/data roles with client-facing pre-sales experience; strong ML lifecycle, LLM/agentic system architecture, AWS ML services, and technical leadership skills.

Anthropic Certified Software Engineer

Software Engineer

Anthropic certification required; 7+ years building and running production systems; strong Python, AWS, IaC (Terraform/CDK/CloudFormation), SQL/Spark, and GenAI (RAG, vector DB, embeddings) experience; B2+ English.

TechLead / Solutions Architect (Python & GenAI)

Solutions Architect

7+ years building production systems; strong Python, AI/ML, LLM and RAG experience; REST API development, Docker/Kubernetes, AWS cloud experience; pytest and testing; presales and client-facing skills; B2+ English.

TechLead / Solutions Architect (Python & GenAI, AWS)

7+ years building production systems; strong Python, REST API and backend skills; experience with LLMs, RAG, Docker, Kubernetes, AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR); pytest; presales and client-facing experience; B2+ English.

Senior Python Developer (Back-end, AWS, RAG)

Python Developer

Expert Python developer with experience building REST APIs, containerized microservices (Docker, Kubernetes), AWS/serverless, SQL and NoSQL databases, unit testing (PyTest/UnitTest), and experience with generative AI, chatbots and RAG architectures. Strong communication and problem-solving skills; English intermediate+.

Solutions Architect (GenAI, Python/Data, AWS)

7+ years building production systems, hands-on Python, LLM/agentic AI experience, RAG and LLM API integration, AWS (Bedrock, Lambda, ECS, S3, etc.), Docker/Kubernetes, FastAPI/Django/Flask, CI/CD and MLOps practices, presales and client-facing experience, B2+ English.

ML Solutions Architect

Client-facing ML architect to lead presales, design end-to-end ML and agentic architectures, advise on LLM/agent frameworks, and demonstrate AWS expertise (SageMaker/Bedrock). Strong system design and communication skills required.

AI Enablement

AI Enablement Lead

Facilitation-focused role requiring teaching, public speaking, and consulting presence; needs executive coaching, curriculum development, and ability to work with leadership teams.

AI/ML Solutions Architect

Design and deliver end-to-end ML architectures; lead pre-sales; client-facing; strong communication; cloud and data engineering.

Senior ML Engineer (LLMs, AWS)

ML Engineer

ML algorithms, production LLMs, RAG, AWS, Python, Docker, English proficiency.

Senior ML Engineer

Strong ML fundamentals, production ML with LLMs, AWS Bedrock experience preferred, Python, Docker, English proficiency, collaboration and problem-solving skills.

Senior Generalist (Python, Data) Engineer - Healthcare AI Platform (US, Remote)

Senior Generalist Engineer

Senior hands-on engineer with 6+ years in production systems; strong Python, AWS, data pipelines, Terraform/CDK/CloudFormation; autonomous, US-based.

Senior ML Engineer (GenAI, AWS)

Expert in ML core, LLMs, data engineering, MLOps, cloud infra; proficient in Python, SQL, Spark; strong production ML deployment and troubleshooting.

ML Tech Lead (GenAI, AWS)

ML Tech Lead

Advanced ML expertise, production ML experience, system design, and MLOps proficiency.

Python/GenAI Tech Lead

7+ years building production systems; strong Python expertise; experience with AI/ML components; cloud and backend experience; REST APIs; LLM/GenAI; RAG; AWS/GCP; Docker/Kubernetes; React/Vue; English proficiency.

Senior Solution Owner | AI & Data Solutions

Senior Solution Owner

5-7 years product management; 3-5 years AI/ML or data platform exp; Agile/Scrum; cloud and data stack expertise; stakeholder management; strong storytelling.

Data/ ML Solution Architect (GenAI, AWS)

Data/ML Solution Architect

7+ years in solutions architecture with Big Data and cloud platforms; strong leadership; experience with AWS/GCP/Azure; data engineering; MLOps; Kubernetes; Docker; Terraform; CloudFormation; programming languages; customer engagements.

Senior Solution Manager – AI & Data Solutions

Solution Manager

5–7+ years PM with 3–5+ years AI/ML; strong Agile; client-facing experience; English and German proficiency.

5–7+ years product management; 3–5+ years AI/ML or data platforms; strong Agile; client-facing experience; fluent English and German.

Senior Generalist Engineer - Healthcare AI Platform (US, Remote)

Generalist Engineer

6+ years hands-on engineering across backend, data pipelines, and cloud infrastructure; strong Python; AWS experience; IaC; AI-assisted development workflows; US-based for compliance.

Solutions Architect (AI, Python/Data)

Experienced Solutions Architect with Generative AI and Python/Data experience; strong client engagement and presales abilities; ability to design and deliver cloud-native, AI-powered data solutions.

Solution Owner

5-7+ years product management; 3-5+ years AI/ML or data platform; strong Agile; cloud and data stack expertise; GenAI and Agentic AI familiarity; stakeholder management; excellent storytelling

Senior Software Engineer / Solutions Architect (Python & GenAI)

Senior Software Engineer / Solutions Architect

Senior Software Engineer or Solutions Architect with 7+ years Python and GenAI experience; builds production AI, RAG systems, and LLM-based solutions; strong design, presales, and client-facing skills.

7+ years in building production Python systems; strong Python, AI/ML integration, REST APIs; experience with AWS, LLMs, RAG, and cloud architecture; client-facing presales and architecture work; mentoring and leadership.

Machine Learning  Solution Architect

Machine Learning Solution Architect

7+ years in solutions architecture; Big Data and cloud platforms (AWS, GCP, Azure); strong communication; leadership; data engineering and analytics; ML/MLOps knowledge.

ML Tech Lead (GenAI)

Lead ML engineering with production-grade expertise, strong architecture, and mentorship for Colombia-based team.

Senior ML Engineer (GenAI)

Design, develop, and deploy production-grade ML solutions; mentor engineers; build ML accelerators and best practices; strong focus on LLMs, MLOps, and cloud platforms.

Senior Python Engineer (GenAI & LLM Orchestration)

Senior Python Engineer

Strong Python skills; REST API development with FastAPI/Django REST/Flask; experience with LLM APIs; RAG systems; Docker and Kubernetes; AWS services; SQL/NoSQL databases; testing and observability; English proficiency; good communication