Dedicated AI Developers

Hire AI developers in India: senior engineers who join your team or own the project

Hire senior AI developers from our team in India to build LLM features, AI agents, RAG assistants and automations, either inside your team or as a project we deliver. The engineers named on the proposal are the ones who do the work, you can meet them before you sign, and you keep 100% of the code. A proposal typically follows within a week of the first call. Our AI work includes the real-time voice AI pipeline in TalkDrill, our own AI product.

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Key Features

Senior AI engineers, named on the proposal
Meet the engineers before you sign
A dedicated developer, a team extension or a delivered project
LLM features, agents, RAG, automation and the code around them
Senior review of every merge, AI-drafted code included
100% code ownership; an NDA before detailed discussions
Based in India, flexible with your time zone
No hourly billing

Hiring an AI engineer in-house is slow, and a CV says little about how someone handles a model that misbehaves in production. With agencies, the senior people on the sales call are not always the people who write the code, so nobody owns the result when a model starts giving wrong answers.

We work the other way. The proposal names the engineers, their roles and what each is accountable for, and you can meet them before you sign. They build with Claude-class coding agents and AI-assisted scaffolding, and a senior engineer reviews all AI-drafted code before it lands.

Our developers work on LLM features inside existing apps, AI agents with tool permissions and approval gates, RAG assistants that cite their sources, n8n automations and voice AI pipelines, plus the web, mobile and backend code around them. They work from India and are flexible with time zones, as they already are for clients in the UK, the US and the UAE.

When it goes wrong

You see problems early: billing tracks milestones you can verify, and scope changes are re-scoped in the open at the midpoint demo. The code is yours and documented for whoever works on it next. The AI features our developers build ship with evals, approval gates for consequential actions, fallbacks and logs. And if the fit is wrong at the start, we say so on the first call.

Engagement models

Four ways to work with our AI developers

Dedicated developer

A named senior AI engineer works on your product, in your stack, as part of your team, with a senior colleague reviewing every merge.

Team extension

A few of our engineers join your in-house team to add AI to the product you already run, without a rebuild and while your product keeps shipping.

Delivered project

We own the delivery: a fixed scope, named engineers, milestone billing and 30 days of support after launch. An AI MVP is live in 8 weeks.

AI Sprint first

Not sure yet? Four weeks to scope the problem and prototype the riskiest piece on your data, ending in a build or no-build answer.

Technology Stack

Technologies We Use

We leverage the latest technologies and frameworks to deliver robust, scalable solutions.

Claude & GPT-class LLMsMCP & tool-use APIspgvector / Pinecone / Qdrantn8nVoice: ASR / TTS pipelinesPythonNode.js / TypeScriptReact / Next.jsReact NativeAWS / GCP

Our Process

How We Work

Our proven process ensures successful project delivery every time.

First call

A short call about the work, your stack and the hours you need covered. We sign an NDA before detailed discussions if you want one.

Proposal with named engineers

The engineers, their roles and what each is accountable for, typically within a week. We read your codebase under NDA before we quote.

Meet them, then decide

You meet the engineers before you sign, so you judge the people, not a profile. Start with a project, a dedicated developer or a 4-week Sprint.

Work in the open

CI, code review and a demo at every milestone. A senior engineer reviews every merge, and the code is documented for your team.

Case studies

What we have built

See every case study

Next steps

Before you hire

FAQ

Frequently Asked Questions

Book a 30-minute call with Vivek Kumar, our Founder and CEO, or send the enquiry form. Tell us what you need built, your stack and the hours you need covered. A proposal naming the engineers, their roles and the milestones typically follows within a week, and you can meet the engineers before you sign.

You do not get a profile from a pool. The developers are our own senior engineers, the proposal names them, and you meet them before you sign. On the work, a senior engineer reviews every merge, including code drafted with AI tools, and AI features ship with evals, so their quality has a number before your users see them.

LLM features inside existing apps, such as AI search and summaries; AI agents with tool permissions and approval gates; RAG knowledge assistants that cite their sources; n8n automations; voice AI pipelines; and the web, mobile and backend code around them.

Our team is in India, on IST, and is flexible with time zones, as it is for clients in the UK, the US and the UAE. Tell us on the first call which hours you need covered.

You own the code: 100% code ownership, documented for your in-house engineers. Under our terms, ownership of the custom code passes to you on full payment, as the project agreement sets out. We are willing to sign an NDA before any detailed discussion, and we read your codebase under NDA before we quote.

We do not publish rates. Every engagement is quoted after a call, based on the work and the team it needs. We do not bill by the hour: your money tracks delivered work.

Yes. A 4-week AI Sprint scopes the problem and prototypes the riskiest piece on your data, then gives you a build or no-build answer before you commit to a team.

If AI is core to your product for years, build an in-house team as well. Our developers can work beside it and hand over a documented codebase, so your own engineers can take the work on.

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