Lead AI Native Engineer
- Location
- Milpitas, CA · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 5+ years
- Listed
- 30 days ago
Skills & highlights for this role
- production agentic systems
- frontier model APIs
- retrieval and memory systems
- evaluation and observability
Also useful
- MCP infrastructure
- RAG
- post-training or inference infrastructure
- robotics or industrial automation
Stated benefits & perks
- Health
- Dental
- Vision
- 401k
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 company 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.
Requirements
- 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.
Bonus Qualifications
- Experience with post-training, model evaluation, inference, or research infrastructure at a frontier lab or model company.
- Experience with MCP infrastructure, developer platforms, knowledge graphs, RAG, or secure enterprise integrations.
- Background in robotics, autonomous systems, industrial automation, or another technically complex physical-world domain.
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.
Why RoboForce
RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
We are hiring a Lead AI Native Engineer to build RoboForce's vertical agents and shared agent foundation. Reporting to the co-founder, you will turn frontier models into systems for strategy and engineering. This is a hands-on technical leadership role: you will write code, set architecture, and enable agent development-not lead People programs or organizational transformation.
From RoboForce's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Lead AI Native Engineer job at RoboForce located?
This Lead AI Native Engineer position at RoboForce is located in Milpitas, CA (On-site). Always check RoboForce's application page for specific state eligibility or relocation policies.
What qualifications are required for Lead AI Native Engineer at RoboForce?
For the Lead AI Native Engineer role, RoboForce highlights 5+ years of relevant experience; experience with production agentic systems, frontier model APIs, retrieval and memory systems, evaluation and observability. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Lead AI Native Engineer position at RoboForce?
This listing links directly to RoboForce's Greenhouse application page. You can apply directly on RoboForce's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.