AI role · Open offer

AI Engineer — SDKs & developer experience

Vercel

Full-time
Senior
AI SDK
Remote
Remote · Europe / United States
Remote, United States
USD 150k–210k + equity

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills2 tools

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Remote
Location: Remote · Europe / United States
Compensation: USD 150k–210k + equity
Experience level: Senior
Team: AI SDK
Benefits & perks

About this role

What the team is looking for and how this position fits.

Vercel is hiring a Senior AI Engineer — SDKs & developer experience on the AI SDK team (Remote · Remote, United States). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Vercel construit le AI SDK et l'infra pour apps LLM en production.

AI Engineer (remote): DX pour streaming, tools, agents — open-source et product.

Missions

Étendre le SDK (streaming, tool calling, UI patterns).
Écrire docs et exemples que les développeurs copient vraiment.

Stack & environment

TypeScript, Python, edge/serverless, Docker.

What we look for

DX / SDK experience; LLM product familiarity; remote-first.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
TypeScript

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.
VercelTool
Regular use of Vercel in the LLM & generative AI stack—configuration, debugging, and team conventions.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Open-source or SDK work for LLM streaming, tools, or agents.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, TypeScript, NLP, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You communicate clearly in writing, document decisions, and can overlap with the team’s core hours for pairing and incident response.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: USD 150k–210k + equity, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Open-source or SDK work for LLM streaming, tools, or agents.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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