{"id":630528,"url":"https://alion.io/job/embedding-vc-lead-ai-native-engineer","title":"Lead AI Native Engineer","company":{"id":6711,"name":"Embedding VC","domain":"embedding.vc","url":"https://alion.io/company/embedding-vc","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-08T05:49:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milpitas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":252000,"max_usd":522000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":571},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Context Engineering","optional":false},{"name":"Cursor","optional":false},{"name":"Function Calling","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Physical AI","optional":false},{"name":"Post-training","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-09-03T03:15:00Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-09T03:02:23Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"Why RoboForce\nRoboForce 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.\nWe 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.\nResponsibilities\n- 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.\n- Establish the agent foundation. Build reusable primitives for models, tools, orchestration, context, memory, retrieval, permissions, human approval, and long-running execution.\n- Create the context layer. Connect agents to trusted data through APIs, pipelines, MCP servers, and integrations with clear provenance and access control.\n- Own evaluation and reliability. Build benchmarks, regression tests, tracing, monitoring, and failure-analysis loops across quality, latency, cost, security, and resilience.\n- Advance frontier agent usage. Evaluate new models, coding agents, SDKs, and patterns, then turn useful capabilities into maintainable systems rather than demos.\n- Support strategic initiatives. Help company leadership apply agents and analytical systems to market and customer intelligence, partnerships, fundraising, diligence, scenario analysis, and executive decisions.\n- Provide technical leadership. Set architecture and engineering standards, review designs and code, and create reusable patterns for the technical team.\nRequirements\n- 5+ years in software engineering, applied AI, ML systems, or a related field, with strong zero-to-one technical judgment.\n- Experience at a frontier AI lab, leading AI company, or comparable team working at the edge of current model capabilities.\n- A track record shipping production agentic systems that real users depend on-not only prompts, prototypes, or demos.\n- Deep experience with frontier model APIs, tool use, orchestration, context engineering, retrieval, memory, and multi-step workflows.\n- Experience building evaluations, regression tests, observability, and production failure-analysis loops for AI systems.\n- 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.\n- Strong product judgment: able to turn an ambiguous decision or workflow into a useful, secure, measurable system.\n- Requires 5 days/week in-office collaboration with the team.\nBonus Qualifications\n- Experience with post-training, model evaluation, inference, or research infrastructure at a frontier lab or model company.\n- Experience with MCP infrastructure, developer platforms, knowledge graphs, RAG, or secure enterprise integrations.\n- Background in robotics, autonomous systems, industrial automation, or another technically complex physical-world domain.\nBenefits\n- Competitive stock options/equity programs.\n- Health, dental, and vision insurance, 401(k) plan.\n- Visa sponsorship and green card support for qualified candidates.\n- Lunches and dinners, a fully stocked kitchen, and regular team-building 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