Hire from Pakistan
Hire AI and ML engineers from Pakistan
Pakistan has a growing pool of engineers building AI applications: LLM features, retrieval (RAG) systems, agents and ML pipelines. To hire well, separate AI application engineers (building on existing models) from ML engineers (training and evaluating models), and test for production experience: evaluation, monitoring and cost control, not just a demo.
Know which AI role you need.
| Role | Builds | Test for |
|---|---|---|
| AI application engineer | LLM features, RAG, agents on existing models | Evaluation, prompt and retrieval quality, latency and cost |
| ML engineer | Trained models, pipelines, feature stores | Data quality, training and evaluation rigour, deployment |
| Forward deployed engineer | Customer-specific AI deployments | Customer discovery, integration, production ownership |
| Data engineer | The data AI depends on | Pipelines, reliability, data modelling |
Look for production evidence, not demos.
- How did they measure whether the system worked? (evaluation sets, user feedback, accuracy targets)
- What broke in production, and what did they change?
- How did they control cost and latency?
- Which parts did they own personally?
Finding them.
Experienced AI engineers in Pakistan often work for US and European clients already, so describe the work and outcomes precisely and state your pay range and overlap hours. On Kif, candidates' projects and results are part of the match, which helps surface people whose job titles undersell their AI work.
Common questions
Are there experienced AI engineers in Pakistan?
Yes, and the pool is growing, especially in AI application work: LLM features, retrieval systems and agents. Test for production experience rather than relying on titles.
What is the difference between an AI engineer and an ML engineer?
AI engineers mostly build applications on existing models, such as chat features, retrieval systems and agents. ML engineers train, evaluate and deploy models themselves.
Your next step
Make the role worth matching.
Describe the work, confirm the requirements, and review the fit.