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Codemotives

AI & Data Talent

Hire AI Developers

Our AI developers join your team to turn ideas into working intelligent features, with clear scoping, regular reporting and code you can maintain.

Get in touchHow we work

Overview

Hire AI Developers

An AI developer sits between product thinking and engineering. They help decide where machine learning or language models genuinely add value, then build the data pipelines, model integrations and application code that make those features work inside your product. They also tell you when a simpler approach will do the job better.

We match developers to your goals, stack and stage, whether you are validating a first idea or extending a platform that already serves users. Engagements can be dedicated full-time, part-time or project-based, and we agree on communication, reporting and review habits at the start so the work stays visible. The work is shaped by your goals, your existing code and the way your team already plans and reviews its work.

Context

When to hire

  • 01

    You have an idea but no in-house AI skills

    Your roadmap includes intelligent features, but nobody on the team has shipped them before. An AI developer closes that gap without a long hiring cycle.

  • 02

    A prototype needs to become a product

    A notebook or demo works on sample data. Turning it into a reliable, monitored service needs engineering discipline our developers bring.

  • 03

    You need to evaluate feasibility first

    Before committing budget, you want an honest view on data readiness, accuracy expectations and integration effort.

  • 04

    Your team is stretched

    Existing engineers are busy with core work. Extra AI capacity lets you add features without pausing the roadmap.

Capabilities

Skills you get

  1. 01

    Problem framing

    Translate a business goal into a measurable AI task, with sensible success metrics and a realistic scope.

  2. 02

    Model selection and integration

    Choose between hosted APIs, open models or custom training, and wire the choice into your application cleanly.

  3. 03

    Data preparation

    Clean, label and structure data, and build repeatable pipelines so results can be reproduced.

  4. 04

    Evaluation and testing

    Set up test sets and quality checks so changes to prompts or models can be compared objectively.

  5. 05

    Production deployment

    Package models behind APIs, add logging and monitoring, and plan for latency and cost.

  6. 06

    Knowledge transfer

    Document decisions and hand over clearly so your team can keep evolving the system.

Typical work

  • Recommendation and personalization features
  • Document and text processing
  • Predictive scoring for business data
  • Smart search and assistants
  • Automating repetitive review work

Tools they use

  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • OpenAI API
  • Hugging Face
  • FastAPI
  • Docker

Approach

How hiring works

  1. 1

    Share your needs

    Tell us about your project, stack, team setup and the skills you are looking for.

  2. 2

    Review the match

    We suggest developers whose experience fits, and you can talk with them before deciding.

  3. 3

    Onboard

    Access, tools, communication channels and working hours are agreed up front.

  4. 4

    Build & review

    Work runs in your process with regular updates, and the team can scale as needs change.

FAQs

Common questions

Have a question that is not covered here? Get in touch.

How are AI developers matched to my project?

We start with a conversation about your goals, data and stack, then propose developers whose experience fits. You can discuss the match and the engagement model before anything is agreed.

Can I scale the team up or down?

Yes, team size can be discussed and adjusted as the work changes. We plan changes with you so context is not lost.

Who owns the models and code?

Ownership is defined in the agreement, typically assigned to the client. We confirm this, along with data handling terms, before work begins.

How will I see progress?

We agree on a reporting rhythm up front, such as regular check-ins, shared task boards and demos, so you can follow what is built and why.

Explore

Keep exploring

Let's build what's next

Tell us about your idea, product or legacy system. Send us a message and we will help you scope the right next step.

Get in touch