AI / ML
Hire senior AI engineers from Bangladesh.
From RAG pipelines to fine-tuning to agent loops — production systems, not notebooks. Evals you can trust, latency budgets you can ship against, and prompts you don't have to keep rewriting.
Capabilities
What our AI engineers do.
RAG done right
Hybrid retrieval, re-ranking, chunking strategies tuned to your corpus. Eval-driven, not vibes-driven.
Agent systems
Tool-using agents with proper guardrails, retries, and human-in-the-loop where it matters.
Fine-tuning + distillation
When base models aren't enough — LoRA, full fine-tunes, distillation to smaller models.
Evals + observability
Offline + online evals, token-level cost tracking, regression testing for prompt changes.
How fast
Hire in 7–10 days.
From brief to first commit. We move when you move.
- 01
Day 1–2
Brief us. We shortlist 2–3 vetted candidates against your stack and seniority bar.
- 02
Day 3–5
Interview the shortlist. Pair on a real problem from your codebase if you want.
- 03
Day 6–7
Pick. We handle paperwork, NDA, equipment, and access.
- 04
Day 8–10
Ship. Your new engineer commits in their first week, not their first month.
FAQ
Common questions.
- What models do they work with?
- Frontier models (Claude, GPT, Gemini), open-weights (Llama, Mistral, Qwen), and self-hosted via vLLM.
- Do they handle MLOps?
- Yes — separate from but adjacent to data science. They own the production lifecycle.
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