Senior Agentic AI Developer

About the role

You'll design and ship systems where an LLM plans, calls tools, and acts against real business systems, then you'll make those systems reliable, evaluated, secure, and affordable enough to run in production. This is a hands-on engineering role in a client-facing consulting environment.

What you'll do

• Design, build, and ship agentic AI applications on Azure: multi-step reasoning, tool and function calling, retrieval, memory, and human-in-the-loop checkpoints
• Implement retrieval-augmented generation pipelines, including chunking strategy, embedding and indexing, hybrid and semantic search, reranking
• Integrate agents with client systems through APIs, databases, and Model Context Protocol (MCP) servers, writing the tool definitions and schemas the model depends on
• Build evaluation harnesses and golden datasets, and treat accuracy, groundedness, and task completion as measured numbers rather than impressions
• Instrument agents for production: tracing, token and cost telemetry, latency budgets, failure and fallback paths, and alerting on quality regressions

What you need

• 6–10 years in data science & ai
• Machine learning
• SQL
• LLMs
• Python
• Prompt engineering
• Azure
• Any graduate

Good to have

• Databricks
• Data privacy
• Terraform
• Helm
• CI/CD
• Git