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AI Agent Tech Lead

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  • Embedding VC

    AI Agent Tech Lead

    Embedding VC · 🇺🇸 San Francisco, CA · posted today
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    Hybrid
    Stack
    Python, React, TypeScript, Claude Code (company stack)

    TL;DR

    Early hands-on builder and future tech lead for Lingopal's new AI agent platform, aimed at enterprise customer-support use cases in hospitality, airlines, and travel. Owns backend and full-stack systems from prototype to pilot, with pilot customers planned for Q4 2026. Stack includes LLMs, agent frameworks, and voice AI.

    About Embedding VC →

    The full posting

    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.