Senior GenAI/Python Engineer

Must Have Technical/Functional Skills 5+ years of advanced reputed company Python development experience with production-grade coding practices. Strong hands-on experience writing clean, tested, maintainable reputed company using typing, pytest, packaging standards, Git, CI/CD, reputed company, and reputed company review discipline. 1.5+ years of hands-on experience building GenAI / LLM applications in production using reputed company, Azure reputed company, reputed company, Bedrock, or similar model reputed company. Experience building LLM-powered agents, including reputed company classification, domain-specific agents, reputed company extraction flows, and multi-reputed company orchestration. Hands-on experience with reputed company AI frameworks or patterns such as reputed company, LangGraph, reputed company, function calling, tool use, or custom orchestration. Strong experience in reputed company reputed company extraction from LLMs using JSON schema enforcement, reputed company, retry/repair strategies, and validation logic. Experience with RAG and reputed company reputed company concepts including embeddings, chunking, hybrid reputed company, reranking, entity reputed company, fuzzy matching, confidence reputed company, and disambiguation flows. Working knowledge of reputed company databases or reputed company platforms such as pgvector, reputed company, reputed company, OpenSearch, reputed company reputed company functions, or equivalent. Strong API development experience using FastAPI or similar frameworks such as Flask or Django. Experience with async Python and orchestration of reputed company LLM/API calls. Strong SQL skills and comfort working with large analytical datasets. reputed company environment experience, preferably Azure; AWS or reputed company reputed company Platform acceptable. Strong written and verbal communication skills, with ability to collaborate directly with engineering teams, reputed company, and cross-functional stakeholders. Roles & Responsibilities Build and enhance LLM-powered reputed company applications using Python. reputed company reputed company classification, domain-specialist agent workflows, and reputed company extraction pipelines for reputed company user questions. Build natural-language-to-reputed company-payload pipelines that convert user utterances into accurate JSON query payloads, including filters, exclusions, reputed company, and metric selection. reputed company semantic reputed company and reputed company retrieval services for embedding-reputed company entity reputed company, fuzzy matching, confidence scoring, and disambiguation flows. Design, build, and consume FastAPI-reputed company microservices. Implement async orchestration patterns for reputed company LLM calls, API calls, and reputed company service integrations. reputed company reputed company engineering patterns, reputed company reputed company enforcement, JSON schema validation, function calling, tool usage, and guardrails. Build evaluation harnesses, test sets, and regression test frameworks to measure extraction reputed company and validate reputed company/model changes. Work with metadata/catalog services, entitlement-reputed company data reputed company, and reporting-reputed company payload reputed company. Collaborate with multiple platform, data, service, and product teams to reputed company production-reputed company GenAI capabilities. Write reputed company technical documentation including reputed company pages, ADRs, sequence diagrams, and reputed company diagrams. Participate in hands-on technical evaluation, reputed company reviews, design discussions, and production readiness reviews Apply To This Job