ashby
Senior Software Engineer, AI Platform
Dexmate
Santa Clara, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 1 weeks ago
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The Role
We are looking for a Senior AI Engineer to design, build, and ship AI-powered software across the full stack — from the agentic infrastructure that powers our robot operations, to the backend services that expose it, to the interfaces that operators and engineers use every day.
You will own AI features end-to-end: from system design through implementation, deployment, and production monitoring. You understand the failure modes of LLM-based systems — non-determinism, prompt injection, runaway tool-calling, token cost spirals — and you build guardrails that prevent them. You are equally comfortable writing agent orchestration logic, designing REST APIs, and shipping a React dashboard.
This is not a research role. We want engineers who have closed the loop from prototype to production with AI systems that real users depend on.
AI Agent Development
Design, implement, and deploy production-grade AI agents: multi-step reasoning pipelines, tool-calling workflows, multi-agent coordination, and human-in-the-loop handoffs
Design and build agent harnesses — the runtime infrastructure (context management, tool definitions, memory, feedback loops, observability, and lifecycle control) that makes agents reliable in production; the model is a component, the harness is the product
Engineer context pipelines: dynamic retrieval, re-ranking, semantic search, and GraphRAG as tools within an agentic reasoning loop — not static RAG pipelines; understand when to retrieve, when to use long context, and when to use agent memory
Implement production-grade reliability: retry logic with backoff, cost controls, structured output validation, sandboxed tool execution, and checkpoint-resume for long-running agent workflows
Develop systematic evaluation frameworks (evals, golden datasets, regression suites, observability traces) that measure agent quality and catch regressions before production
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