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Mid-level GenAI role, metro location, and generalist Python developer title increase competition.
High due to specialized GenAI/LLM production skills and vector database expertise required.
Explicit 4–6 years requirement plus mandatory LLM, LangChain, PGVector, and observability skills.
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Develop and debug Python features with rapid issue resolution across APIs, data transformations, and deployments.
Implement and optimize GenAI workflows using LangChain/OpenAI, including prompt engineering and vector retrieval using PGVector.
Maintain and enhance deployment reliability, observability, and automation tools; collaborate cross-functionally to triage and resolve production issues.
4-6 years of strong Python development experience.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Experience deploying GenAI/LLM solutions in production-like environments.
Proficiency with Python 3.x, LangChain, OpenAI API, NLP tools (e.g., nltk), MongoDB, and vector databases (PGVector).
Expertise in GenAI/LLM production workflows including prompt design, tool calling, and reliability guards.
Skilled at root-cause analysis and debugging across data pipelines, configurations, and deployments.
Experience working with integration and automation frameworks, observability tooling, and collaborative issue triage in agile or product-driven teams.