Description

You will build and enhance LLM-powered agentic applications in production using Python.

This role is on-site.

Responsibilities

• Build intent classification, domain-specialist agent workflows, and agentic extraction pipelines for complex user questions.
• Develop natural-language-to-structured-payload pipelines that convert user utterances into accurate JSON query payloads, including filters, exclusions, rankings, and metric selection.
• Integrate semantic search and vector retrieval services for embedding-based entity resolution, fuzzy matching, confidence scoring, and disambiguation flows.
• Design, build, and consume FastAPI-based microservices with async orchestration patterns for parallel LLM and API calls.
• Build evaluation harnesses, test sets, and regression test frameworks to measure extraction accuracy and validate prompt/model changes.

Required Skills

• 5+ years of advanced professional Python development experience with production-grade coding practices.
• Strong hands-on experience with typing, pytest, packaging standards, Git, CI/CD, Docker, and code review discipline.
• 1.5+ years of hands-on experience building GenAI/LLM applications in production using OpenAI, Azure OpenAI, Anthropic, Bedrock, or similar model APIs.
• Experience building LLM-powered agents, including intent classification, domain-specific agents, agentic extraction flows, and multi-step orchestration.
• Hands-on experience with Agentic AI frameworks or patterns such as LangChain, LangGraph, LlamaIndex, function calling, tool use, or custom orchestration.
• Strong experience in structured output extraction from LLMs using JSON schema enforcement, Pydantic, retry/repair strategies, and validation logic.
• Experience with RAG and vector search concepts including embeddings, chunking, hybrid search, reranking, entity resolution, fuzzy matching, confidence thresholds, and disambiguation flows.
• Working knowledge of vector databases or search platforms such as pgvector, Pinecone, Weaviate, OpenSearch, Snowflake vector functions, or equivalent.
• Strong API development experience using FastAPI or similar frameworks such as Flask or Django.

Preferred Skills

• Cloud environment experience, preferably Azure; AWS or GCP acceptable.
• Strong SQL skills and comfort working with large analytical datasets.

Key Skills

Education

Any Graduate