Hire vetted AI and GenAI Engineers
24h
first response
72h
from brief to shortlist
1 in 7
clears our vetting
75/100
the pass mark
Hire senior AI and generative AI engineers, vetted for production delivery. 2 to 3 matched profiles in 72 hours. Remote and compliant.
Hire AI developers and senior AI engineers through Mahala. Vetted production specialists in machine learning, GenAI, computer vision, and model evaluation, matched to your stack in 72 hours. Two layers of rigorous, evidence-based vetting before any profile reaches your shortlist.
What we deliver
01
Build and deploy production ML systems: feature pipelines, training, serving, monitoring.
02
Design GenAI applications grounded in retrieval, evaluation, and guardrails.
03
Ship computer vision and forecasting systems with the rigor enterprise environments require.
04
Take responsibility for evaluation, drift, and the long tail of post-launch model behaviour.
When teams hire
through Mahala
Most AI projects fail at deployment, at evaluation, at the operational reality of running a model in front of real users. The engineers who close that gap are not the engineers who built the proof-of-concept. They are who Mahala vets for.
How an
engagement runs
- Brief us. Role, stack, project phase, timeline, access model.
- We sign a preliminary NDA before sharing any profiles.
- Receive 2 to 3 anonymised senior profiles within 72 hours.
- Interview the finalists, choose the best fit, and we handle onboarding.
Representative
profile
Senior AI/ML Engineer. Primary counterpart at his last engagement: the CEO. Deployed retrieval-augmented systems across 200+ healthcare facilities at 99.2% uptime, cutting manual processing by 40%. Runs the full modern stack: LangChain, vector databases, multi-LLM routing, Terraform, Kubernetes, end-to-end observability. Vetted at 91/100.
Related
questions
What can a senior AI Engineer from Mahala do for my team?
Build and deploy production ML systems, design GenAI applications with retrieval and guardrails, ship computer vision and forecasting systems, and own the long tail of post-launch model behaviour.
How fast can an AI Engineer start?
Shortlist in 72 hours. Most placements are working in your environment within two weeks of brief.
How do you vet AI Engineers?
Two layers of institutional-grade assessment. Production delivery evidence first, then consulting capability. Hackathon-only profiles do not clear the bar.
Do they work on GenAI specifically?
Yes. Senior practitioners with documented delivery in retrieval, evaluation frameworks, guardrails, and observability for GenAI in production environments.
How do rates work?
Senior delivery is priced on a day or hourly rate, depending on the engagement model. We share rate ranges during the first call.