
AI Agent Tech Lead at Embedding VC (San Francisco, CA)
Embedding VC· San Francisco, CA·
Role details
Job description
About Lingopal
Lingopal builds real-time AI language technology, with a live translation product used in production today. We're now building our next product — an AI agent platform aimed at enterprises with heavy customer-support needs (hospitality, airlines, travel) and fast-scaling AI-agent companies.
About the Role
We're looking for a AI Agent Tech Lead to be an early, hands-on builder for our new AI agent product — and to grow into technical leadership as the team scales. You'll work directly with the founders, own core backend/full-stack systems, and move fast: we're testing with pilot customers in Q4 2026, and the direction will sharpen based on what we learn. Speed and adaptability matter more here than infrastructure depth or performance optimization — we need someone who ships.
What You'll Do
- Build the core of a new AI agent product end-to-end — backend and full-stack, from prototype to pilot.
- Turn rough product direction into shipped features fast, iterating with real pilot customers.
- Make the early, high-leverage technical decisions and set the engineering bar as the team grows.
- Grow into technical leadership — mentoring, hiring, and owning architecture as we scale.
- Work hands-on with modern AI tooling (LLMs, agents, voice AI) as a daily part of the job.
What We're Looking For
- 1–5 years of software engineering experience — strong hands-on builder, comfortable owning things end-to-end.
- AI agent background preferred (agent frameworks, LLM-powered products, voice AI a plus).
- Backend / full-stack strength.
- Startup mindset — we lean toward startup/YC-caliber builders over Big Tech pedigree; rapid feature development over performance tuning.
- Comfortable with ambiguity and evolving priorities; high ownership and a bias toward shipping.
- Wants to grow into a leadership role.
Why work at Embedding VC
- 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.