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Mid-level metro backend role with popular skills and broad appeal increases candidate density.
Requires backend plus GenAI/vector DB experience, moderately favoring candidates with AI-integrated backend backgrounds.
Multiple mandatory technical skills (Python, FastAPI, AWS, LLM/vector DB) impose moderate filtering.
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Design, build, and maintain scalable RESTful APIs using Python (FastAPI) integrating LLMs, vector databases, and GenAI pipelines.
Deploy backend services on AWS and optimize for performance, cost, and reliability while supporting CI/CD pipelines.
Collaborate with product, frontend, DevOps, and QA teams to translate requirements into technical solutions and deliver AI-enabled applications in the manufacturing domain.
Work Experience Required: Not explicitly mentioned in the JD
Proficient backend development skills with Python and FastAPI.
Experience with RESTful API design, microservices architecture, and security best practices.
Familiarity with AWS cloud services, CI/CD pipelines, SQL/NoSQL databases, and basic understanding of GenAI concepts including embeddings and vector search.
Experienced backend engineer comfortable working at the intersection of AI and backend engineering, particularly with Generative AI applications.
Capable of integrating APIs with LLMs (OpenAI, Anthropic, Azure OpenAI) and vector databases (Pinecone, FAISS, Weaviate, OpenSearch).
Able to operate in an agile, cross-functional team environment delivering solutions for IT operations in manufacturing or similar domains.