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Mid-level generalist backend role, metro locations, and broad skillset increase applicant competition.
Backend and DevOps skills transfer across industries, but LLM/vector DB experience increases specialization.
Explicit 4–15 years plus mandatory Python/FastAPI, Docker, and DevOps/LLM skills create stringent filters.
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Lead design and development of scalable backend services and APIs using Python and FastAPI.
Integrate large language models (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) and develop advanced retrieval-augmented generation (RAG) pipelines and vector databases.
Drive DevOps best practices including Git, Docker, CI/CD pipeline implementation, mentor junior engineers, and collaborate with cross-functional teams to deliver technical solutions.
4 to 15 years of relevant experience.
Expertise in Python backend development with FastAPI and production experience with high-performance RESTful APIs and WebSocket communication.
Experience with relational databases (PostgreSQL, MySQL), caching (Redis), and knowledge of NoSQL databases (MongoDB, Cassandra).
Strong skills in Git version control, Docker containerization, automated testing strategies, and agile development methodologies.
Experienced backend software engineer with full-stack capabilities including front-end UI components using JavaScript and React.
Comfortable with AI/ML integration, specifically large language model deployment and agent frameworks like LangChain and LlamaIndex.
Proactive leader and mentor focused on quality code, DevOps integration, and agile team collaboration within innovative AI platform environments.