Agentic AI Developer - LLM Workflows & Tool-Calling Systems - Contract to Hire

We're building production AI agents that reason over data, call tools, coordinate across services, and produce reliable outputs inside real workflows. This is not a chatbot project. We need agents that can handle conditional branching, partial failures, human-in-the-loop escalation, and run at volume without ballooning cost. You'll work on designing and implementing agent workflows from the ground up - prompts, tools, state, orchestration, and evals. What the work looks like: - Building multi-step agents that call external tools and route conditionally based on what those tools return - Designing retry and escalation logic so failures degrade gracefully instead of silently - Structuring LLM outputs so downstream code can reason over them reliably - Keeping cost and latency under control across high-volume runs - not just single-turn correctness - Adding observability if possible. - Writing evals to catch regressions - Should be able to work on US timezone. Tech stack: TypeScript.