AI Agent Tech Lead

Embedding VC

  • San Francisco, California
  • 13 days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationSan Francisco, California
    Websitehttps://embedding.vc/

    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.

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