Full Stack ML/AI Developer, Python & OpenAI
Overview
You will own end-to-end delivery of AI-powered features for enterprise clients, architecting solutions with Python, ReactJS, and NodeJS across a hybrid cloud environment. Work within a cross-functional team of engineers and data scientists to ship production-grade LLM applications. This role offers direct impact on multimodal AI systems and agentic frameworks, with a focus on measurable outcomes from day one.
What You'll Do9
- 1Build and deploy LLM-powered applications using Python, OpenAI, and Claude, integrating prompt engineering and fine-tuning for domain-specific tasks.
- 2Design and implement agentic workflows with LangChain, Strands, or Crew AI to automate complex business processes.
- 3Develop and optimize vector databases and retrieval-augmented generation (RAG) pipelines for accurate, context-aware responses.
- 4Create responsive front-end interfaces with ReactJS, ensuring seamless user interaction with AI models.
- 5Engineer back-end services using NodeJS, handling API requests, authentication, and data persistence.
- 6Automate build and deployment pipelines using Jenkins and GitHub Actions, ensuring continuous integration and delivery.
- 7Collaborate with product managers and ML engineers to define AI feature requirements and translate them into technical specs.
- 8Debug and profile AI application performance, optimizing latency and cost of OpenAI and Claude API calls.
- 9Drive code reviews and knowledge sharing sessions to raise engineering standards across the team.
Requirements8
- 19+ years in full-stack development with Python and modern JS frameworks, including ReactJS and NodeJS.
- 2Hands-on expertise with large language models, including prompt engineering, fine-tuning, and multimodal AI.
- 3Proven experience with agentic frameworks such as LangChain, Strands, or Crew AI.
- 4Deep knowledge of vector databases (e.g., Pinecone, Weaviate) and retrieval-augmented generation (RAG).
- 5Exposure to cloud AI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- 6Strong proficiency in Jenkins and GitHub Actions for CI/CD pipelines.
- 7Experience with tool/function calling within LLM applications.
- 8Ability to work onsite in Minneapolis MN, Hartford CT, or Atlanta GA.
Salary Insight
Salary not disclosed in listing
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