Senior AI Engineer

📋 Description

• Designing, building, and hardening LLM agents with real tool use and multi-step orchestration for
• Owning agent reliability end to end — latency, correctness, and cost — including evaluation
• Designing and evolving our agent tooling layer, including MCP servers and protocol-level
• Building and tuning RAG pipelines and grounding strategies where agents need reliable access to
• Working across our LLM gateway (LiteLLM proxy) and model providers to route, monitor, and optimize
• Setting technical standards for how we build agents, and raising the bar for the whole team through

🎯 Requirements

• Strong, modern Python and a track record of shipping LLM agents to production — not just prototypes
• Hands-on experience with agent architectures: tool calling, orchestration, and the failure modes
• Practical experience with MCP (or comparable protocol/tooling design), and the judgment to know
• Experience building agent evaluation and observability — you measure quality and latency, you don't
• Familiarity with RAG, retrieval, and grounding techniques and their real-world limitations.
• Comfort with LLM gateways/proxies (e.g. LiteLLM) and provider APIs (Azure AI Foundry, OpenAI, or

🎁 Benefits

• Perks & Benefits: Long-Term Incentive Program, 2 sick days and 25 vacation days with option to