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