--- title: 'Lead AI Native Engineer at Embedding VC' canonical: 'https://feeny.ai/job/lead-ai-native-engineer-embedding-vc-milpitas-e8kp7wddrx7f' type: 'job' last_seen: '2026-09-09' --- # Lead AI Native Engineer at Embedding VC - **Company:** Embedding VC - **Location:** Milpitas, CA - **Employment:** full-time - **Posted:** 2026-09-03 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/embedding-vc/802309e3-a955-400e-bcab-5920597026b5 ## Job description ## 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. ## 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. ## About Embedding VC ## Company Overview - **One-liner**: Embedding VC is an early-stage venture capital firm investing in Generative AI startups, backing engineering, product, and research visionaries. - **Entity Type**: Private (Venture Capital Firm) - **Headquarters**: Menlo Park, California, United States - **Founded**: 2023 - **Founders**: Roger Luo (Founder & Managing Partner) ## Core Business - Primary industry/industries: Venture Capital, Private Equity, Artificial Intelligence - Target customers: Early-stage Generative AI startups (Seed and Series A) - Mission or purpose statement: To back engineering, product, and research visionaries in the mission to develop AGI, believing they are at the onset of a new computing super cycle driven by AI innovations. ## Products & Services - **Venture Capital Investments**: Early-stage (Seed and Series A) investments in Generative AI startups. Focus areas include AI-first applications, middleware for Gen AI, and AI + game + social. - **Portfolio Support**: Provides capital and strategic support to portfolio companies, leveraging a network of investors who are current and former builders and operators. ## Market Standing - **Valuation/Market Cap**: Not applicable (Venture Capital firm) - **Key Metric**: Total Funding Deployed: Not publicly disclosed. The firm has made 6 investments as of early 2026, with 5 new investments in the last 12 months. - **Notable Investors/Partners**: The firm's investors are current and former builders and operators. Co-investors include Long Journey Ventures, Mayfield, Correlation Ventures, 468 Capital, NFX, and Menlo Ventures. - **Growth Signals**: Active job postings (37 as of mid-2026), with a monthly growth in postings of +5.7% and quarterly growth of +48.0%. The firm's website traffic has grown +231.9% monthly. The firm has made 5 new investments in the last 12 months, including a Series A round in Entelligence in January 2026. ## Competitive Advantages - **Founder-Operator Network**: All investors in the fund are current and former builders and operators, providing deep, hands-on expertise to portfolio companies. - **Niche Focus**: Dedicated exclusively to early-stage Generative AI, a high-growth, cutting-edge sector, allowing for deep specialization and a strong network within the AI ecosystem. - **Strong Portfolio**: Investments in notable AI startups like Flora (AI-powered smart glasses, $52M raised), Omi (AI personal story recording), and Entelligence (AI for engineering leadership) demonstrate a keen eye for emerging trends. ## Strategic Focus - **Generative AI Leadership**: To be the premier early-stage partner for founders building the next generation of AI-native companies. - **AGI Mission**: The firm explicitly states a belief in the mission to develop AGI, signaling a long-term, high-conviction investment thesis. - **Expanding Portfolio**: Actively seeking new investments in AI-first applications, middleware for Gen AI, and AI + game + social. ## Why Work Here - **Culture**: A small, focused team of 17 employees (as of mid-2026) with a flat structure, offering significant ownership and impact. The firm is described as a partnership. - **Remote/Hybrid Policy**: The firm has offices in Menlo Park (HQ) and Los Angeles, CA. Job postings indicate a mix of "In-Office" and "In-Office or Remote" roles, suggesting flexibility depending on the position. - **Notable Perks/Engineering Culture**: Working at a VC firm offers exposure to the cutting edge of AI technology and the startup ecosystem. The team is composed of specialists and management, with a strong consulting and technical background. The firm is actively hiring for technical roles (Machine Learning Engineer, Software Engineer, Data Engineer) and product roles, indicating a hands-on, builder-oriented culture within the firm itself. ## Sources 1. [embedding.vc](https://www.embedding.vc/) 2. [linkedin.com](https://www.linkedin.com/company/embeddingvc) 3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/embedding-vc) 4. [tracxn.com](https://tracxn.com/d/venture-capital/embeddingvc/__x4iWIoyDblSMImQx3cerpGqOt15eGHuGXfZJrtw3RK0) 5. [builtin.com](https://builtin.com/company/embedding-vc/teams) ## Other roles at Embedding VC - [IT & Information Security Manager](https://feeny.ai/job/it-information-security-manager-embedding-vc-san-francisco-sk44dfr9pp9h) — San Francisco, CA - [Software Engineer, Agent](https://feeny.ai/job/software-engineer-agent-embedding-vc-san-francisco-b6gjwsa8j7qj) — San Francisco, CA - [Senior/Staff Software Engineer, Agent](https://feeny.ai/job/senior-staff-software-engineer-agent-embedding-vc-san-francisco-yqmv1e6jkzym) — San Francisco, CA - [Software Engineer, Enterprise AI Platform](https://feeny.ai/job/software-engineer-enterprise-ai-platform-embedding-vc-san-francisco-qhqpjezbrxvg) — San Francisco, CA - [Senior Software Engineer, Enterprise AI Platform](https://feeny.ai/job/senior-software-engineer-enterprise-ai-platform-embedding-vc-san-francisco-w4p49q7xp4qm) — San Francisco, CA - [Senior Product UI/UX Designer](https://feeny.ai/job/senior-product-ui-ux-designer-embedding-vc-san-francisco-6njqf9mjhek8) — San Francisco, CA - [Senior Product Manager, Enterprise](https://feeny.ai/job/senior-product-manager-enterprise-embedding-vc-san-francisco-w2jf6kkspg4w) — San Francisco, CA - [GTM Specialist](https://feeny.ai/job/gtm-specialist-embedding-vc-san-francisco-awtfmvetn3gd) — San Francisco, CA - [GTM Lead](https://feeny.ai/job/gtm-lead-embedding-vc-san-francisco-5qgfnawtcd4k) — San Francisco, CA - [AI Engineer (Early Career)](https://feeny.ai/job/ai-engineer-early-career-embedding-vc-san-francisco-cwxs7wwmxce5) — San Francisco, CA