Description

You will build and deploy agentic AI systems into production environments.

This role is on-site.

Responsibilities

• Implement agentic workflows in Python using agent frameworks like Semantic Kernel, managing planning, memory, and conversation orchestration.
• Build reliable tool and function calling flows, including schema design and argument validation.
• Develop retrieval pipelines for RAG and hybrid search, covering 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 of hands-on GenAI application experience prior to agentic work.
• Strong proficiency in Python 3.11+, including typing, asyncio, testing with pytest, and CI/CD.
• Production experience with an agent framework (Semantic Kernel, LangGraph, AutoGen, or CrewAI).
• Expertise in tool and function calling, schema design, argument validation, and multi-step planning.
• Experience building retrieval systems using vector stores and hybrid search, including grounding strategies.
• Cloud deployment experience managing containers, secrets, identity, networking, and monitoring.
• Proficiency in observability and evaluation, including tracing, metrics, log aggregation, and experiment design.
• Security fundamentals covering prompt injection defenses, content policy enforcement, and PII handling.
• Familiarity with Docker, Kubernetes, and GitHub Actions.

Key Skills

Education

Any Graduate