AI engineers who ship to production
Dedicated AI and ML engineers who have deployed agents, RAG systems and predictive models, not researchers with notebooks, engineers with pager duty.
Dedicated senior. Your tools, your standups, your repo, two week paid trial to start.
One rate: AI & ML
₹1,14,000/ month
Dedicated senior · 3 month commitment · saves ₹6,000 monthly
- Dedicated senior engineer, yours only
- Two week paid trial to start
- Your tools, your standups, your repo
- Free instant replacement, anytime
The role, plainly.
Serious AI work is engineering: retrieval over real data, evaluation suites that catch regressions, guardrails that hold under live traffic, and cost-aware inference that survives its own bill. That is the profile we vet for.
Start with one engineer or a full pod, architect, engineer and data engineer working as your team, on your roadmap, in your standups. Your data stays in your cloud; you own every model and every line from the first commit.
What they bring
LLM applications
Agents, RAG pipelines, evaluation suites and guardrails that survive real traffic.
Predictive models
Forecasting, recommendation and anomaly models monitored in production.
Data engineering
Pipelines and feature stores that feed models reliably, versioned like code.
MLOps
Deployment, drift monitoring and retraining loops so models stay honest.
What they take on.
Typical engagement
Custom AI agents & copilots
Agents grounded in your data with tool calling, guardrails and human escalation designed in.
From call to first commit.
Share your needs
A 30 minute call to understand the role, stack and team fit.
Meet matched engineers
We shortlist within 48 hours; you interview whoever you want.
Two week paid trial
Work together on real tasks. Not a fit? Replace or walk away.
Onboard and scale
Same engineers long term. Add or reduce with 30 days notice.
The stack
- Python
- LangChain
- PyTorch
- pgvector
- Airflow
- MLflow
- FastAPI
- AWS
Why teams hire this way.
Production scars
Engineers who have run models under real load, on call, for years. They design for failure from day one.
Business first
Every model ties to a metric you track. No science projects on your budget.
Full stack around the model
APIs, dashboards and integrations come from the same team, not a handoff.
Transparent rates
One monthly rate per engineer. No recruitment fees, no benching charges.
Asked about hiring ai & ml.
The questions teams raise before starting, answered plainly.
A question we missed?Typically within two weeks of your first call. Senior profiles are shared within 48 hours, and most clients interview the same week.
The first two weeks are a paid trial. If the fit is wrong, we replace the engineer or you stop, no questions asked.
Yes. Dedicated means dedicated: your engineer works exclusively on your product, in your tools and standups.
You do, from the first commit, including training code and evaluation sets.
AI & ML Engineers, frequently asked questions
Explore further.
Trained, leashed, shipping.
our robots stay friendly on a short retrieval lead.
Doodles from the studio, drawn the way we build, by hand
Ready to hire ai & ml?
One 30 minute call, stack, mission, start date. Matched profiles in 48 hours, and the two week trial keeps it reversible.