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.

Requirements

Must-haves

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.
1–5 years of software engineering experience — strong hands-on builder, comfortable owning things end-to-end.
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.

Nice-to-haves

AI agent background preferred (agent frameworks, LLM-powered products, voice AI a plus).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillm

Platform: ashby
Effort: quick