How they evaluate output quality
The single biggest separator. A demo is easy; knowing whether it works in production is not.
DATA
Hire AI and ML Engineersfrom India, for your team.
Engineers who can get a model into production and tell you honestly how well it is working once it is there.
WHAT THEY DOWhat our AI / ML engineers
What our AI / ML engineers
are responsible for.
Written as the work, not as a keyword list. If your role needs something outside this, tell us and we will say whether we can staff it.
- Integrate LLMs and build retrieval systems that return relevant context
- Design evaluation so quality is measured rather than asserted
- Manage inference cost and latency against a budget
- Handle prompt, model and data versioning
- Build guardrails appropriate to the risk of being wrong
EVALUATING CANDIDATESWhat to probe for
What to probe for
in a AI / ML interview.
This is useful whether or not you hire through us. A better-run interview gets you a better engineer either way.
What they do when retrieval returns the wrong context
Most RAG failures are retrieval failures, not model failures.
Their view on when not to use a model
Senior engineers can name problems better solved without one.
THE TRAP
A convincing demo says very little. Ask how they would know if quality regressed next month, and what they would do about it.
HOW WE SCREEN
Evidence, not keywords.
We assess AI engineers on evaluation and failure handling rather than on prompt-writing, because that is where production systems actually break.
COMMONLY PAIRED WITH
PythonVector databasesAWSLangChain
WHY TRUST A NEW FIRMWe are new.
We are new.
So we carry the risk, not you.
Hexalabs is early. We would rather say that than imply a history we do not have — you would find out anyway, and it would cost us the engagement. Instead, here is what we commit to in writing so trying us costs you very little.
A two weeks paid pilot
Start with a two-week paid pilot on real work from your backlog. At the end you decide whether to continue, with no further obligation and no notice period to serve. You will have seen the code, the communication and the pace before committing to anything longer.
Free replacement in the first 30 days
If an engineer is not working out in the first 30 days, we replace them at our cost, including the handover. You do not pay twice for the same seat, and you do not run the hiring process again.
Two weeks notice, always
Engagements run on two weeks notice. If it is not working, you are not trapped in it. We would rather you left early than stayed unhappy and told people about it.
You interview everyone
You interview every engineer before they join, and nobody is placed without your yes. Our screening notes come with each profile so you can see what we assessed and judge it yourself.
These terms go into your contract, not just onto this page. Ask us for them in writing before you commit to anything.
NEXT STEPTell us the role.
Tell us the role.
We will come back with profiles.
Two fields to start. The more you tell us about the work, the closer the first set of profiles will be.
A LITTLE MORE CLARITYGood questions.
Good questions.
Clear answers.
Still deciding? A short conversation is usually faster than another round of research.
Ask us directlyWe assess AI engineers on evaluation and failure handling rather than on prompt-writing, because that is where production systems actually break.
A convincing demo says very little. Ask how they would know if quality regressed next month, and what they would do about it.
Either. A single engineer joins your existing team under staff augmentation, working your process and your sprint. If you need the surrounding roles too — design, QA, DevOps — a dedicated team is usually the better shape, and we will say so rather than selling you more people than the work needs.
An overlap window with your working day is agreed before anyone starts, and it is written into the engagement rather than left to goodwill. Tell us the hours you need covered and we will tell you honestly whether we can staff them.
IP assignment is set out in the contract before work begins. Confirm the specific terms with us in writing — this is exactly the kind of thing that should never be assumed.
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Data Engineers
Data engineers who deliver datasets people trust — which is a different job from delivering pipelines that run.
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DevOps Engineers
Infrastructure engineers who make delivery repeatable and recoverable — and who have been on call for the systems they set up.
ExploreNEED THE WHOLE TEAM?
Dedicated Teams
Product, design, engineering, QA and DevOps — assembled for you.
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