The mandateBuild the agent architecture that turns enterprise context into reliable action. You will design agent loops, tool-use patterns, evaluation systems, and multi-agent coordination that work on ambiguous, high-stakes operational problems rather than controlled demos.
What you'll own- Design and ship production agents that plan, retrieve context, call tools, generate artifacts, and complete multi-step work.
- Build orchestration patterns for specialized agents and agent swarms, including task decomposition, delegation, shared state, recovery, and human approval.
- Create evaluation suites for task success, factuality, tool selection, safety, latency, and cost.
- Improve context engineering across prompts, retrieval, memory, structured state, documents, and the Echelon ontology.
- Build guardrails for permissions, tenant isolation, sensitive data, unsafe actions, and unreliable model output.
- Compare models and prompting strategies with production traces and measured outcomes rather than intuition.
- Partner with Product Engineering and domain experts to turn real BizOps workflows into dependable agent capabilities.
- Own failures in production and improve the architecture until the same class of failure cannot recur.
What you bring- 4+ years building production software, including substantial hands-on work with LLM or ML-powered products.
- Evidence that you have shipped an agentic system beyond a prototype and improved it using production feedback or evaluations.
- Strong Python and/or TypeScript engineering, including APIs, tests, data modeling, asynchronous work, and observability.
- Experience with tool calling, structured generation, retrieval, model evaluation, and multi-step workflows.
- Strong judgment about when to use a model, deterministic code, a human checkpoint, or a simpler product interaction.
- Comfort debugging nondeterministic behavior and reducing it to measurable, reproducible failure modes.
- High agency, direct communication, and comfort owning outcomes under changing requirements.
Useful experience- Multi-agent systems, long-running agents, computer use, code execution, or planning and reasoning systems.
- Vercel AI SDK, OpenAI, Anthropic, Mistral, AI Gateway, Braintrust, or comparable platforms.
- Knowledge graphs, ontologies, process mining, entity resolution, or temporal data.
- Enterprise security, least-privilege tool execution, approvals, audit trails, or regulated workflows.
- Sandboxed execution, document intelligence, browser automation, or multimodal models.
Benefits- Team lunches and dinners in the office.
- On-site Gym access for all employees.
- Fully covered health, dental, and vision insurance.
- 401(k) plan.
- Access to AI Tooling of your choice.
- Unlimited PTO.
