AI Agent Tech Lead

Embedding Vc

San Francisco, CA

On-site

Who this role is best for

Startup-experienced software engineers with AI agent background will find this hands-on, fast-paced technical leadership role in the San Francisco Bay Area.

Best fit for

Candidates with 1–5 years of full-stack development experience and a startup mindset will thrive here.
— “1–5 years of software engineering experience — strong hands-on builder”
Individuals who have worked on AI agent frameworks or LLM-powered products are especially well-positioned.
— “AI agent background preferred (agent frameworks, LLM-powered products)”
Those with a desire to grow into technical leadership and mentor others will find this role rewarding.
— “Grow into technical leadership — mentoring, hiring, and owning architecture as we scale.”

Things to consider

The role demands a high tolerance for ambiguity and evolving priorities as the product direction changes.
— “Comfortable with ambiguity and evolving priorities”
The candidate must be prepared to ship features quickly rather than focus on long-term infrastructure optimization.
— “Speed and adaptability matter more here than infrastructure depth or performance optimization”

How to stand out

Highlight end-to-end ownership of systems in your resume and interview examples.
— “own core backend/full-stack systems”
Emphasize experience with AI tooling like LLMs and voice AI in your technical narrative.
— “Work hands-on with modern AI tooling (LLMs, agents, voice AI)”
Showcase your ability to iterate with real customers and ship features rapidly.
— “Turn rough product direction into shipped features fast”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

built core systems
mentored and hired team members

Typical background

1-5 years of software engineering experience

Skills & requirements

Required

AI Agent DevelopmentBackend/full-stack EngineeringTechnical LeadershipProduct Direction

Preferred

Startup Experience

About the role

Original posting from Embedding Vc via Ashby

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.

Source: Embedding Vc careers (Ashby)