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Venture Capital, Financial Services

AI Agent Tech Lead

San Francisco, CAOnsiteFull TimeLeadPosted 2 months ago

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Required skills

  • AI Agent
  • LLMs
  • Voice AI
  • Backend
  • Full-Stack
  • Software Engineering
  • Startup
  • Ownership
  • Shipping
  • Technical Leadership

Nice to have

  • Agent Frameworks
  • Performance Tuning
  • Ambiguity
  • Evolving Priorities

Role summary

Lingopal is seeking an early, hands-on AI Agent Tech Lead to build their new enterprise AI agent platform. This role involves end-to-end backend and full-stack development, from prototype to pilot, with a focus on rapid feature development and adaptability. The Tech Lead will make key technical decisions, set the engineering bar, and grow into a leadership position, including mentoring and hiring as the team scales. Experience with modern AI tooling like LLMs and voice AI is essential, alongside a strong software engineering background and a startup mindset. The role requires comfort with ambiguity and a bias towards shipping.

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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