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Open nowPosted 77 days ago

AI Agent Tech Lead

Embedding VC57 open roles

Where
San Francisco Bay Area
Work mode
On site
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Your applicationOpen nowAI Agent Tech LeadEmbedding VC · San Francisco Bay Area

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Embedding VC postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 77 days ago

Embedding VC median: 20 days open

The 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.

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