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Production orchestration for stateful, long-running, and multi-agent workflows.
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Tool and action infrastructure with strong contracts, permissions, and approval boundaries.
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Retrieval, context engineering, evidence management, and persistent agent memory.
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Model-runtime engineering across providers, latency profiles, and deployment environments.
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Evaluation, tracing, security, and operational control of nondeterministic systems.
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Own Proxi’s agent runtime and strengthen foundations for building new agent-driven products.
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Build the systems that allow agents to own long-running work from assignment through completion. Agent activity should remain visible, steerable, and connected to the relevant project, people, evidence, deadlines, and deliverables in Action Rail.
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Build the tool and action framework agents use to interact with internal systems and external services safely.
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Connect agents to Proxi’s retrieval and knowledge systems so reasoning, memory, citations, and generated artifacts remain grounded in authoritative evidence.
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Improve the evaluation and release discipline for agent behavior, traces and simulations to improve quality while controlling latency, cost, and risk.
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Experience deploying agent systems in government, defense, legal, healthcare, or other regulated environments.
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Familiarity with policy and legal research where temporal accuracy, provenance, and citation precision are essential.
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Experience operating self-hosted or multi-provider inference in restricted environments.
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Experience building agents that create durable artifacts or perform permissioned actions on a user’s behalf.