
Lead AI Native Engineer
Embedding VC3 hours ago
Milpitas, CA, USAStaff+
Responsibilities
- Build and own production vertical agents for workflows spanning research, software, hardware, data, and operations.
- Develop reusable agent-foundation primitives for models, tools, orchestration, context, memory, retrieval, permissions, human approval, and long-running execution.
- Connect agents to trusted data through APIs, pipelines, MCP servers, and integrations with provenance and access control.
- Build benchmarks, regression tests, tracing, monitoring, and failure-analysis loops for AI-system quality, latency, cost, security, and resilience.
- Evaluate frontier models, coding agents, SDKs, and implementation patterns and turn useful capabilities into maintainable systems.
- Apply agents and analytical systems to market and customer intelligence, partnerships, fundraising, diligence, scenario analysis, and executive decisions.
- Set architecture and engineering standards, review designs and code, and create reusable patterns for the technical team.
Requirements
- At least 5 years of experience in software engineering, applied AI, ML systems, or a related field.
- Experience at a frontier AI lab, leading AI company, or comparable team operating at the edge of current model capabilities.
- Track record of shipping production agentic systems used and depended on by real users.
- 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.
- Strong fluency with AI-native development workflows using Claude Code, Codex, Cursor, agent SDKs, or equivalent systems.
- Strong product judgment and ability to turn ambiguous decisions or workflows into useful, secure, measurable systems.
- Experience with post-training, model evaluation, inference, research infrastructure, MCP infrastructure, developer platforms, knowledge graphs, RAG, or secure enterprise integrations is a bonus.
- Background in robotics, autonomous systems, industrial automation, or another technically complex physical-world domain is a bonus.
- Must collaborate in the office five days per week.
Benefits
- Competitive stock options and 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.
- Five days per week of in-office collaboration is required.
Categories
About Embedding VC
Embedding VC is an early-stage venture fund backing Generative AI startups. All our investors are current and former builders and operators. We believe in the mission to develop AGI, and we are at the onset of a new computing super cycle, fundamentally driven by AI innovations.