Lead AI Native Engineer
Read straight from RoboForce's careers page, verified 15h ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationMilpitas, CA, Milpitas, CA
Work modeon-site
Typefull-time
SeniorityLead
Experience5+ yrs
DepartmentStrategy & AI Native
EquityIncluded
Company size51–200 people
PostedJun 12, 2026 · 4mo ago
Verified live15h ago
May no longer be actively hiring
Posted by the company on Jun 12, 202669% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
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
Requires 5 days/week in-office collaboration with the team
Skills
Claude Code
Codex
Cursor
MCP
RAG
APIs
Benefits
Stock options
Health insurance
Dental insurance
Vision insurance
401(k)
Visa sponsorship
Meals provided
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.
About the role
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.
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.