Description

You will design, build, and operate production AI agents and tools using Agentic AI frameworks in Python.

This role is on-site.

Responsibilities

• Implement agentic workflows in Python using agent frameworks like LangGraph, AutoGen, or CrewAI.
• Build reliable tool and function calling flows with planning, memory, and conversation orchestration.
• Develop retrieval pipelines for RAG and hybrid search, covering ingestion, chunking, embeddings, and ranking.
• Ship agents to production on cloud platforms, integrating identity, networking, and observability.
• Establish evaluation workflows using prompt and flow tests for offline, batch, and A/B scenarios.

Required Skills

• 5+ years of professional software engineering experience.
• 3.5+ years of hands-on GenAI application development experience.
• Strong Python 3.11+ skills, including asyncio, packaging, and testing with pytest.
• Production experience with at least one agent framework (LangGraph, AutoGen, or CrewAI).
• Expertise in tool and function calling, schema design, and multi-step planning.
• Retrieval systems experience with vector stores and hybrid search.
• Cloud deployment experience covering containers, secrets, identity, and monitoring.
• Observability proficiency, including tracing, metrics, and log aggregation.
• Security fundamentals, including prompt injection defenses and PII handling.

Key Skills

Education

Any Graduate