Hire AI engineers.
AI and data engineers who turn a promising demo into a feature you can ship: grounded in your data, measured against real examples, and cheap enough to run at scale. From $3,000 a month, on public rates.
What it costs
Monthly price per full-time engineer, about 160 hours. No recruiting fee, and the first 2 weeks are free if it isn't working.
What they build
Right when you have a clear AI feature in mind and the data to support it. Our team also delivers data and AI projects with Keyrus.
LLM features
Assistants, summaries, extraction and search inside your product, built on Claude, OpenAI or open models.
Agents
Multi-step agents that call your tools and APIs, with guardrails and logs you can audit.
Retrieval (RAG)
Your documents and data indexed so answers are grounded and cited, not guessed.
Data pipelines
The ingestion, cleaning and warehousing that AI features depend on, in Python and SQL.
What we vet for
A senior engineer, not a recruiter, runs every stage: a communication screen, a practical task in your stack, a technical interview and references. You see the scorecard and interview the shortlist.
- Python, plus the Claude and OpenAI APIs
- Retrieval: embeddings, vector databases and chunking
- Evaluation: test sets and metrics before launch
- Agent frameworks and tool calling
- Data engineering with SQL, dbt or Snowflake
- Cost, latency and privacy trade-offs
Your hours, not ours
Our engineers are based in Lahore and shift their working day to match yours, so they join your standups live. Every Friday you get the Loud Report: what shipped, what is blocked and the hours logged.
| Your team in | Your clock compared with Lahore |
|---|---|
| Sydney, Melbourne | 5 to 6 hours ahead |
| Brisbane | 5 hours ahead |
| Perth | 3 hours ahead |
| Auckland, Wellington | 7 to 8 hours ahead |
| New York | 9 to 10 hours behind |
| Los Angeles | 12 to 13 hours behind |
| London | 4 to 5 hours behind |
Shipped by our engineers
Real products, live today. Every one of them reported weekly, out loud.
Tinder: enhancements to the Matches module, shipped in one month
AirYoda: social audio matchmaking app for iOS and Android, launched in four weeks
Questions
Straight answers on time, money, people and IP.
Do your engineers train models?
Mostly they build on existing models: calling, grounding, evaluating and integrating them. That is where most product value is today. Custom training is scoped separately.
Is our data safe?
Engineers work in your cloud accounts, under NDA, with the model providers and data rules you choose. Nothing is used to train third-party models without your say.
How fast can they start?
AI engineers are a matched role: we source and vet engineers for your product and team, usually within 2 to 3 weeks, and you interview the shortlist.
What does it cost to hire AI engineers?
From $3,000 a month (about $19/hr) for a mid-level engineer, $4,000 for senior and $5,200 for a lead, for about 160 hours a month. Overtime, when you need it, is 1.5× the normal rate.
Who owns the code?
You do, from the first commit. We sign a mutual NDA before you share details, every contract assigns all code and IP to you, and the code lives in your repositories.
Other engineers we place
Every role is on the same public rate card. Need a mix? Build a pod.
Tell us about the AI and LLM role.
Or email admin@loudlydev.com. We reply within 4 business hours.