Hire AI engineers
Hire AI engineers
Engineers who build retrieval, agents and LLM features as production systems, with evaluation, cost ceilings and failure handling, because three of our own apps run AI features in front of paying users.
- years shipping software
- 12+years shipping software
- apps of our own, live
- 6apps of our own, live
- CodeCanyon sales
- 665CodeCanyon sales
- overlap with Europe & the Gulf
- UTC+6overlap with Europe & the Gulf
What they work on
More on our ai engineering →- Retrieval-augmented generation (RAG) over your own documents and data
- Vector search: embeddings, chunking, hybrid retrieval and reranking
- Agents and workflows with tool use and human approval steps
- LLM evaluation harnesses and regression tests for model output
- Cost and latency control: caching, routing, model choice, token budgets
- Prompt injection defence and clear data boundaries
- On-device inference for mobile where privacy or latency demand it
- Automation that connects models to the systems you already run
- TypeScript
- Python
- OpenAI
- Anthropic
- pgvector
- LangGraph
- Core ML
Why teams hire from us
AI in apps people pay for
Three of our own apps run AI features for paying users. That is where you learn about cost per request, bad answers and outages, not in a demo.
You talk to the engineer
No account-manager layer. The person who replies to your first message is an engineer, and the people writing the code are on the calls.
Shipping since 2014
We started by selling application templates on CodeCanyon: 19 items, 665 sales, a 4.21★ author rating. That business still runs, which keeps us honest about code other people have to live with.
Hours that overlap
Dhaka is UTC+6: a comfortable working overlap with Europe and the Gulf. With the US west coast the overlap is narrower, and we agree it per project.
Proof, not claims
Built and run by the same team
How it starts
- 01
Tell us what you need
The product, the platforms and the timeline, by the form or on WhatsApp. Say whether you need an app built end to end or engineers alongside your own team.
- 02
A call with an engineer
Not a salesperson. Usually within one business day of your message.
- 03
A written estimate
Who would work on it, the scope, the timeline and the price, in writing, so you can compare it properly.
Questions
Can you add AI to our existing product?
Yes. Most of this work is adding a feature to a product that already exists: an assistant over your documents, an automation, or an AI step inside a workflow, connected to your current systems.
Which models do you work with?
Hosted models from providers such as OpenAI and Anthropic, and on-device models for mobile where data should not leave the phone. The choice depends on quality, cost and privacy for your case.
Can your developers join our existing team?
Yes. Besides full projects, our engineers work inside client teams: in your codebase, your tracker and your meetings.
How much does it cost?
It depends on what you are building and how many engineers it needs, so we do not quote before we understand it. After a short call with an engineer you get a written estimate covering scope, timeline and price.
Can we talk to the developers directly?
Yes. Clients work directly with the engineers writing the code, on calls and in the same chat, rather than through a project manager relaying messages.
Can you take over an app another team built?
Yes. We start with a short technical audit of the existing codebase, so both sides know what is there before committing to a plan.
Which countries do you work with?
Clients in Bangladesh, the United States, the United Kingdom, the Gulf, Australia and Europe. We are in Dhaka (UTC+6).
Worth reading before the call
RAG in Production: What Actually Breaks
A production RAG system is mostly a search system with a language model on the end. Teams that treat it that way get systems that hold up.
4 min read
Agents or Workflows? Knowing Which You Need
If you can draw the flowchart, build the flowchart.
3 min read
Keeping LLM Costs Under Control in Production
Cost per successful outcome, not cost per call. A cheaper model that needs two attempts is not cheaper.
3 min read
Tell us what the AI should do
Tell us what you are building. An engineer replies, usually within one business day.