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Lead AI Native Engineer

RoboForce· Strategy & AI Native
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Milpitas, CAFull-timePosted 3mo ago

About the role

Lead hands-on technical leadership role focused on building RoboForce’s vertical agents and shared agent foundation, converting frontier models into scalable systems for strategy and engineering.

Responsibilities

  • Build vertical agents. Own end-to-end agents for high-value workflows across research, software, hardware, data, and operations—from problem definition through production use.
  • Establish the agent foundation. Build reusable primitives for models, tools, orchestration, context, memory, retrieval, permissions, human approval, and long-running execution.
  • Create the context layer. Connect agents to trusted data through APIs, pipelines, MCP servers, and integrations with clear provenance and access control.
  • Own evaluation and reliability. Build benchmarks, regression tests, tracing, monitoring, and failure-analysis loops across quality, latency, cost, security, and resilience.
  • Advance frontier agent usage. Evaluate new models, coding agents, SDKs, and patterns, then turn useful capabilities into maintainable systems rather than demos.
  • Support strategic initiatives. Help leadership apply agents and analytical systems to market and customer intelligence, partnerships, fundraising, diligence, scenario analysis, and executive decisions.
  • Provide technical leadership. Set architecture and engineering standards, review designs and code, and create reusable patterns for the technical team.

Qualifications

  • 5+ years in software engineering, applied AI, ML systems, or a related field, with strong zero-to-one technical judgment.
  • Experience at a frontier AI lab, leading AI company, or comparable team working at the edge of current model capabilities.
  • A track record shipping production agentic systems that real users depend on—not only prompts, prototypes, or demos.
  • Deep experience with frontier model APIs, tool use, orchestration, context engineering, retrieval, memory, and multi-step workflows.
  • Experience building evaluations, regression tests, observability, and production failure-analysis loops for AI systems.
  • Exceptional fluency with AI-native development workflows using Claude Code, Codex, Cursor, agent SDKs, or equivalent systems, with a rigorous understanding of where agents work and fail.
  • Strong product judgment: able to turn an ambiguous decision or workflow into a useful, secure, measurable system.
  • Requires 5 days/week in-office collaboration with the team.

Skills

Required:Software engineeringfrontier model APIsAI-native development workflowsProduction agentic systemsArchitecture and code review

Benefits

  • Competitive stock options/equity programs.
  • Health, dental, and vision insurance, 401(k) plan.
  • Visa sponsorship and green card support for qualified candidates.
  • Lunches and dinners, a fully stocked kitchen, and regular team-building events.
Last updated Oct 22, 2026. Interested? Apply on the company site.

About RoboForce

Robotics for Humanity

RoboForce is building the world’s most advanced Robo-Labor system.

AI RoboticsIndustrial automationRobo-LaborRobotics for Humanityautomationoutsourcingphysical-ai-funding-landscaperobotics
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