Description

Design, build, and operate production AI agents and tools using Agentic AI frameworks in Python.

Responsibilities

• Own agentic workflows end-to-end, covering planning, reasoning, tool calling, retrieval, evaluation, security, and observability.
• Implement agentic workflows in Python, building reliable tool and function calling flows with planning, memory, and conversation orchestration.
• Develop retrieval pipelines for RAG and hybrid search, managing ingestion, chunking, embeddings, ranking, and grounding.
• Ship agents to production on cloud platforms, integrating identity, networking, cost controls, and runtime observability.
• Establish evaluation workflows using prompt and flow tests for offline, batch, and A/B scenarios.

Required Skills

• 4 to 5 years hands-on GenAI application experience.
• Strong Python 3.11+ skills, including typing, asyncio, packaging, and pytest.
• Production experience with at least one agent framework (LangGraph, AutoGen, or CrewAI preferred).
• Expertise in tool and function calling, schema design, and multi-step planning.
• Experience with retrieval systems, vector stores, and hybrid search.
• Cloud deployment experience using containers, secrets, and identity.
• Proficiency in observability, including tracing, metrics, and log aggregation.
• Knowledge of security fundamentals, including prompt injection defenses and PII handling.
• Experience with CI/CD pipelines (GitHub Actions or Azure DevOps).

Key Skills

Education

Any Graduate