Hire AI Engineers in San Francisco

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Built for Founders, by Engineers

Build Smarter. Scale Faster. Hire AI Engineers Who Can Actually Execute.

You’re in San Jose. You Don’t Have Time for Mediocre AI Hires.

San Jose is fully in beast mode. The AI scene here is wild right now. NVIDIA is scooping up real estate, Stanford grads are spinning out deep-tech startups, and everyone’s raising with “AI-native” in their pitch deck. If you’re building, the opportunity is real. So is the fight for top-tier engineers.

Hiring elite AI talent here isn’t easy. You’re either stuck in a 6-week interview cycle or reviewing résumés from devs who don’t know a model checkpoint from a pull request.

That’s why Thinkteks exists. We’re not recruiters learning tech buzzwords. We’re engineers who know how to identify legit builders. And we connect them to startups like yours.


What We Actually Do

Forget the traditional playbook. We’re not mass emailing candidates or tossing you a stack of “maybes.”

Here’s what we do instead:

  • Send pre-vetted, startup-ready engineers who’ve shipped production code

  • Move fast — we usually start intro-ing candidates within 3 days

  • Keep it simple: 10% commission, no inflated retainers, no hidden fees

We help you hire AI engineers, LLM pros, ML ops specialists, prompt engineers, and full-stack builders who understand embeddings and inference speed.

  • We Know Startups Because We’ve Been There

    Startups evolve by the week. You need AI talent who can work inside shifting product scopes, ship fast, and still write clean code.

    We’ve filled roles at stealth-mode labs, Series A SaaS teams pivoting to AI, Web3 projects adding ML, and Fortune 500 offshoots building internal AI tools from scratch.

    And we do it like founders — fast, practical, and no fluff.


    Roles We’re Filling in San Jose Right Now

    • ML Engineers deploying real-time models

    • LLM Engineers building internal copilots

    • Data Scientists who write SQL and explain their insights

    • AI Infra folks who are Kubernetes-native

    • Product-focused engineers who ask smart questions and build what matters

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What Our AI Engineers Can Do For You

Our network of artificial intelligence engineers includes specialists in:

Natural Language
Processing (NLP)

Computer Vision &
Image Recognition

Generative AI & Large
Language Models (LLMs)

Deep Learning &
Neural Networks

Model Optimization
& Deployment

Predictive Analytics
& Forecasting

Data Pipeline
Engineering

AI Infrastructure
& MLOps

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What Roles We Help Fill

We’ve placed AI talent across early-stage YC startups, Series A rocket ships, and late-stage fintech unicorns. Here’s where we’ve helped:

  • Machine Learning Engineers building recommendation engines

  • LLM Engineers integrating custom models with real-time pipelines

  • NLP Engineers designing voice assistants and chatbot frameworks

  • Computer Vision specialists for AR/VR, robotics, and retail

  • Data Scientists with startup DNA

  • AI Product Managers who actually write specs and ship fast

    How Our Process Works

    We designed our recruitment process to be fast, technical, and reliable:

    1

    Discovery & Strategy

    We start by understanding your stack, product vision, hiring goals, and what success looks like in your AI team.

    2

    Sourcing From Our Curated AI Network

    We don’t spray and pray. We tap into a refined talent pool of AI engineers we’ve pre-screened or built relationships with.

    3

    Rigorous Technical Vetting

    Each candidate goes through a deep-dive evaluation, including code samples, architecture questions, and scenario-based challenges.

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    Why San Jose Startups Work with Thinkteks

    • We get AI recruiting in high-velocity environments

    • We vet for real skill and real potential

    • We understand what early-stage hiring actually requires

    • We keep the process lightweight and respectful of your time and budget

      Let’s Chat

      If you’re a founder or hiring manager trying to scale your AI team, drop us a note.