Udayra — IT services, software & AI company
Hire/Hire AI Engineers

Hire AI Engineers in India

Scale your AI roadmap with engineers who can move from prototype to production. Our AI engineers work as embedded partners across architecture, integration, and delivery.

Product teams shipping AI features, internal copilots, workflow automation, or AI-driven customer experiences.

Business Outcomes

Accelerate AI feature delivery without long hiring cycles

Ship production-grade AI systems with reliable architecture

Reduce delivery risk through senior execution and ownership

Expertise and Engagement Models

Core Expertise

  • LLM applications, RAG systems, and orchestration
  • Workflow automation with AI agents
  • Evaluation frameworks and guardrails
  • Backend integration and deployment patterns

Hiring Models

  • Dedicated engineer
  • Pods (2-4 engineers)
  • Tech lead + execution squad

Engagement model: Flexible monthly engagement with clear sprint goals, shared rituals, and transparent delivery reporting.

Typical onboarding timeline: Onboard in 3-7 business days based on stack fit and team composition.

How Collaboration Works

We run a structured onboarding process covering architecture context, product priorities, coding standards, and communication rituals. This reduces ramp-up time and lets your dedicated team contribute meaningful output within the first sprint.

You retain full visibility through planned milestones, weekly progress reviews, and direct engineering access. As your roadmap changes, we can scale team composition without disrupting continuity.

Onboarding in days, not months

Shared sprint planning and delivery ownership

Transparent reporting with measurable KPIs

Hiring FAQ

Do your AI engineers work in our timezone?

Yes. We align overlap windows to your team for planning, standups, and critical decision loops.

Can we start with one engineer and scale later?

Yes. Many engagements begin with one senior engineer and expand into a pod as scope grows.

Do you work with US and European clients?

Yes. We support clients across the USA, UK, EU, UAE, Australia, and Canada with timezone overlap and English-first communication.

What are typical contract terms?

Most engagements run on monthly dedicated capacity or milestone-based project contracts with clear scope and change control.

Hiring model

What you get when you hire ai engineers with Udayra

Hire AI Engineers is for teams that already know the work is senior and cannot wait a quarter for a local hire. Scale your AI roadmap with engineers who can move from prototype to production. Our AI engineers work as embedded partners across architecture, integration, and delivery. Product teams shipping AI features, internal copilots, workflow automation, or AI-driven customer experiences. If you are still writing the job description, we will help you decide between one specialist and a small pod before anyone starts.

Clients use this model to Accelerate AI feature delivery without long hiring cycles, Ship production-grade AI systems with reliable architecture, and Reduce delivery risk through senior execution and ownership. The engineers we assign cover LLM applications, RAG systems, and orchestration, Workflow automation with AI agents, Evaluation frameworks and guardrails, and Backend integration and deployment patterns. You can start as Dedicated engineer, Pods (2-4 engineers), and Tech lead + execution squad. Flexible monthly engagement with clear sprint goals, shared rituals, and transparent delivery reporting. Onboard in 3-7 business days based on stack fit and team composition. You keep the repositories, cloud accounts, and intellectual property. We work in your standups and your tracker, not a parallel process you never see.

We do not staff a bench of juniors and rotate them through your account. You speak to the people writing the code, join overlapping standups, and see weekly output against a written plan. Architecture decisions, pull requests, and documentation stay in your repos and tools so the engagement is transferable if you later hire in-house. That is the difference between staff you can absorb and a vendor lock-in story.

A typical kickoff is a short calibration on stack, timezone, and the first two sprints. We then match one or more senior engineers, align coding standards, and start delivery. If the first month is a fit, you can add a tech lead, a pod, or adjacent roles such as Dev Ops or product engineering without changing vendors. If it is not a fit, you stop at the month boundary with the work already in your systems.

Hire AI Engineers works for US, UK, EU, UAE, Australian, and Canadian product teams. Contracts are monthly dedicated capacity or milestone-based. If you only need advice on role mix, say so on the first call — we will recommend a model before we talk commercials. Bring the roadmap, the stack, and the hours you need overlapping. That is enough to staff.

Discuss team setupAll hiring pages

Need a Team That Can Start Fast and Deliver Consistently?

Share your roadmap and hiring goals. We will recommend a right-sized staffing model with timelines, roles, and delivery plan.

Talk to Our TeamSee Outsourcing Service