Lead AI Native Engineer
Embedding VC2 months 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 that backs generative AI startups, led by current and former builders and operators. The partnership invests capital and hands-on expertise to help AI founders scale, with a focus on progress toward AGI. Founded in 2023 and headquartered in Menlo Park, California, it operates as a private partnership concentrating on AI-native applications and infrastructure.