TOP

Hire AI Engineers · Dedicated Teams and Staff Augmentation

Hire AI Developers

Hiring AI developers in-house is slow, and the skills are hard to judge from a CV. Aaga gives you senior AI engineers, ML engineers and full-stack developers from an India-based, AI-native team, as a scoped pilot project, a dedicated AI development team or individual engineers who join your own team.

  • Senior engineers who have built and shipped AI and software products
  • Three ways to engage: pilot project, dedicated team or staff augmentation
  • Working hours that overlap with the US, Europe and the Middle East
  • Interview the engineers yourself before anyone starts
Engineers who own outcomes, not tickets
Senior
Pilot project, dedicated team or augmentation
3 models
Reply to your inquiry within one business day
1 day

Tell Us Who You Need

Share the roles, skills and timeline. We reply within one business day with suggested profiles and the engagement model that fits.

We reply within one business day. Your details stay private.

Roles

Which AI Developers Can You Hire?

Most AI products need more than one skill. Hire a single specialist or a small cross-functional team.

  • AI Engineers

    Build LLM applications, RAG pipelines, AI agents, voice and chat assistants, with evaluation and guardrails.

  • ML Engineers

    Train, fine-tune and deploy machine learning models for prediction, classification, vision and recommendations.

  • Full Stack Developers

    Build the web and mobile apps, APIs and dashboards around your AI features, in React, Next.js, Node.js and Python.

  • DevOps and MLOps Engineers

    Set up cloud infrastructure, CI/CD, model deployment, monitoring and cost control on AWS, Azure or Google Cloud.

  • Data Engineers

    Build pipelines, warehouses and vector stores that give your AI systems clean, timely, well-governed data.

  • UI/UX Designers

    Design AI-powered products people understand and trust, from user research to tested prototypes.

Engagement Models

How Can You Work With Aaga's AI Developers?

Choose the model that matches how much you want to manage. You can start with one and move to another.

  • Pilot Project

    A fixed-scope project with a clear outcome, such as a working AI prototype. The lowest-risk way to test the team before a longer commitment.

  • Dedicated AI Development Team

    A full-time team working only on your product, with a technical lead, following your roadmap and priorities month to month.

  • Staff Augmentation

    Individual engineers join your existing team, use your tools and rituals, and report to your engineering lead.

How It Works

How to Hire AI Developers With Aaga

  1. Share Your Needs

    Tell us the roles, skills, project, time zone and start date. A senior engineer joins the first call.

  2. Get Matched Profiles

    We propose engineers whose experience fits your stack and problem, with a summary of relevant work.

  3. Interview the Engineers

    You meet the people who will do the work, ask technical questions and decide.

  4. Onboard

    We set up access, tools, communication channels and working hours, and agree first goals.

  5. Deliver and Review

    Work starts in your sprints or on a project plan, with regular check-ins to adjust the team as needs change.

Vetting

How Are Aaga's AI Engineers Vetted?

Good AI engineering is judged by what people build, not by keywords on a CV. Our vetting looks at four things:

  • Technical depth. Interviews on fundamentals, system design and the specific tools of the role, such as LLM APIs, vector databases, PyTorch or cloud services.
  • Practical skill. Hands-on exercises close to real work, like building a small RAG pipeline or debugging a failing service.
  • Delivery track record. Review of past projects: what they built, what went wrong and how they fixed it.
  • Communication. Clear written and spoken English, and the habit of raising risks early.

Engineers stay current through Aaga's daily AI-native way of working, and you interview them yourself before they start.

Why Aaga

Hiring Through Aaga vs the Traditional Model

Large IT services firms are well suited to staffing very large, global outsourcing programs. For a focused AI team, a lean senior partner is often a better fit.

AagaTypical large IT services model
Who you getSenior engineers you interview and chooseStaff allocated from a large bench
AI experienceAI-native: AI is how the team builds every dayVaries by team and practice
Minimum commitmentStart with a pilot project or one engineerOften larger teams and longer contracts
CommunicationDirect with engineers, in shared channelsThrough account and delivery managers
CostAffordable rates for senior talentRates include large-firm overhead

Comparison describes typical delivery models, not any specific company.

Why Hire AI Developers Through Aaga?

Hiring AI developers through a partner gives you experienced engineers without a long recruiting cycle. It also lets you scale the team up or down as the product changes. Aaga is an AI-native engineering and IT services company: AI automation and agents are how our engineers build every day, not a side skill.

What you get:

  • Senior people. Engineers who have shipped AI and software products and can make sound decisions on their own.
  • Breadth in one place. AI, ML, full stack, DevOps, data and design, so a small team can take a feature from idea to production.
  • Our own platform. Aaga builds on its own platform for workflows, permissions, integrations and AI agents, so your team doesn't spend weeks rebuilding common building blocks.
  • Flexible commitment. Start with a pilot project or one engineer, then grow.

What Does an AI Developer Do?

An AI developer builds software that uses artificial intelligence. Today that usually means applications built on large language models: RAG assistants, copilots, document processing, chatbots and AI agents that use tools. It also covers classic machine learning work such as forecasting, classification and computer vision.

A strong AI developer is first a strong software engineer. Prompts and models are only part of the job. The rest is data pipelines, APIs, testing, evaluation, security and deployment. That is why we hire for engineering depth first and AI specialization second.

Choosing the Right Engagement Model

If you... Choose Why
Want to test an idea or the team first Pilot project Fixed scope, clear outcome, low risk
Need a product or platform built and run long-term Dedicated team A stable team with its own lead and delivery ownership
Have an engineering team that needs specific skills Staff augmentation Engineers slot into your process and tools

Not sure? Describe the goal and we'll recommend a model on the first call.

Skills and Tools Our AI Developers Work With

Every engagement is matched to your stack. Typical skills across the team include:

  • LLMs and agents: Claude, GPT, Gemini and open-source models such as Llama, function calling, the Model Context Protocol (MCP) and agent frameworks.
  • Retrieval and data: embeddings, vector databases, hybrid search, PostgreSQL, data pipelines and ETL.
  • Machine learning: Python, PyTorch, scikit-learn, model training, fine-tuning and evaluation.
  • Application development: React, Next.js, Node.js, FastAPI, Django and mobile frameworks.
  • Cloud and operations: AWS, Azure, Google Cloud, Docker, CI/CD, monitoring and cost management.

Hire Developers or Outsource the Project?

If you have product and engineering leadership in place and need more capacity, hiring engineers through staff augmentation or a dedicated team keeps control with you. If you would rather hand over a defined outcome, such as an AI agent or a generative AI application, a project engagement puts delivery responsibility on Aaga. Both use the same engineers and the same standards.

Time Zones and Communication

Aaga's team is based in India and works with clients worldwide. India Standard Time (UTC+5:30) overlaps with most of the business day in the Gulf and much of the day in Europe. For US clients, we agree on fixed overlap hours, typically your morning and our evening, and keep work moving with written updates, recorded demos and shared boards. You get a working rhythm that fits your team, not the other way around.

How Onboarding Works

Once you choose your engineers, onboarding usually covers:

  1. Access and accounts: repositories, cloud environments, ticketing and chat, with least-privilege permissions.
  2. Context transfer: a walkthrough of your product, architecture, data and current priorities.
  3. Working agreement: overlap hours, meeting cadence, code review rules and definition of done.
  4. First goals: a small, real task in the first days, so the team delivers value early and you see how they work.

Build Your AI Team With Aaga

Whether you need one ML engineer or a full AI product team, start with a short conversation. Read our guide on how to choose an AI development company, see the kind of custom software we deliver, or meet the Aaga team.

Popular Questions

Frequently Asked Questions

It depends on the roles and skills you need. After the first call we propose matching engineers, you interview them, and onboarding follows once you choose. We give you a realistic start date on that first call.

A dedicated team works only on your product, with its own technical lead, and Aaga manages day-to-day delivery against your roadmap. With staff augmentation, individual engineers join your team and your engineering lead manages their work. Both are full-time engagements.

Yes. Many clients start with a pilot project, such as an AI prototype or one production feature, to see how we work. If it goes well, the same engineers can continue as a dedicated team or join your team through staff augmentation.

India Standard Time overlaps with most of the working day in the Middle East and several hours of the working day in Europe. For US clients, we agree on daily overlap hours, typically your morning, and use written updates so work keeps moving while you are offline.

Yes. You meet the engineers who will actually work on your project, ask technical questions and approve them before they start. If someone isn't the right fit later, we discuss a replacement with you.

Ownership of code and other work product is set out in the contract before work begins. Engineers typically work in your own repositories, so the code stays with you as it is written.

Yes. Our engineers work in your repositories, ticketing tools and communication channels, such as GitHub or GitLab, Jira or Linear, and Slack or Microsoft Teams, and follow your coding standards and release process.

Meet Your Next AI Engineers

Tell us the roles and skills you need. We'll propose matching engineers and the engagement model that fits, within one business day.

Find My AI Developers