Hire · Generative AI Developers

Hire Generative AI Developers

Generative AI developers sit between your product team and the models. They decide where GenAI actually helps, build the feature, and make sure it behaves when real users do unexpected things.

  • Senior, pre-vetted engineers only
  • You interview and choose before anyone starts
  • Working-hours overlap with India, the UK and the USA
48-hour turnaround · free · no obligation

Talk to us about hiring generative AI developers

Tell us what you want to build. A senior engineer sends back a scope and a fixed price within two business days, no obligation.

No spam. One senior engineer, one follow-up. We reply within 48 hours.

5.0 on Clutch·200+ projects·Production AI in 3 to 8 weeks

In short

The quick answer

Ours have shipped assistants, document automation and agents into live products, not just prototypes.

The role

What our generative AI developers do

What our generative AI developers build

  • Assistants inside your product or internal tools
  • Document drafting and summarisation workflows
  • Content generation with review steps for brand and accuracy
  • Agents that complete multi-step tasks
  • Guardrails, logging and evaluation around all of it

When to hire a generative AI developer

  • You have a list of GenAI ideas and need someone to pick and build the best one
  • A prototype needs to become a real feature
  • Your developers are strong but new to LLMs
  • You want GenAI features without hiring a full in-house team

Skills

Skills and stack

  • OpenAI
  • Claude
  • Gemini
  • Llama
  • LangChain
  • LangGraph
  • Vector databases
  • TypeScript
  • Python

Process

How hiring works

  1. 01

    Share your needs

    Tell us the stack, the problem and how you want to work. We confirm fit on a short call.

  2. 02

    Interview the shortlist

    We send profiles of pre-vetted senior engineers who match your stack and domain. You interview and choose.

  3. 03

    Onboard and ship

    Your engineers onboard and start delivering without a long recruiting cycle, with working software at the end of each sprint.

Engagement models

Three ways to work with us

Staff augmentation

Add one or two senior engineers to your existing team to close a specific skill gap. Your leads, our specialists.

Dedicated team

A small senior team working only on your roadmap, with a lead who owns delivery.

Defined project

A scoped build such as a RAG system, a model or a pipeline, delivered to an agreed outcome.

Related work

See similar systems in production

FAQ

Hiring generative AI developers: FAQs

What is the difference between a generative AI developer and an LLM developer?

There is a lot of overlap. LLM developers tend to focus on the model side. Generative AI developers usually own the whole feature, including the product decisions and the user-facing parts.

Can they help us decide what to build?

Yes. We often start by ranking ideas by value and feasibility, then build the one most likely to pay off.

How do you keep generated content safe and on brand?

With clear instructions, review steps where it matters, automated checks, and logging so issues can be traced.

How fast can a first feature ship?

A focused first feature typically reaches production in 3 to 8 weeks.

Get your exact number with a free 48-hour audit

Indicative ranges only get you so far. Tell us the specifics and get a scope and a fixed price in two business days.