Fig 7.0AI · Gurgaon · 3–8 yrs · Full-time
AI/ML Engineer
Ship agents, retrieval systems and classical ML models to production, with evals that prove they work and monitoring that proves they still do.
Apply
Email a CV and a few lines about something you built and what you would do differently. No cover letter needed.
- Location
- Gurgaon
- Experience
- 3–8 yrs
- Type
- Full-time
- Posted
- 2026-10-24
Fig 7.1The role
What you will be doing.
You will work on our AI Suite (TriageIQ, PolicyDesk, AskCXO) and on client AI projects. The job is production AI: retrieval pipelines, multi-agent orchestration, text-to-SQL with validation, eval harnesses, guardrails, cost controls, and the occasional gradient-boosted model where it beats a language model. You will measure everything and be sceptical of demos, including your own.
- 01
Design and build retrieval systems, agents and LLM features with Claude, GPT and open-weight models
- 02
Build evaluation sets from real data and automate scoring on every change
- 03
Implement guardrails: input and output checks, PII handling, injection defence, refusal logic
- 04
Train and deploy classical ML models where they are the right tool, with monitoring and retraining loops
- 05
Instrument cost and latency, and make the trade-offs visible
- 06
Write up findings for clients and colleagues in plain language
Fig 7.2Must have
What we need to see.
- 01
3 to 8 years in software or ML engineering, with at least one LLM-based system in production
- 02
Strong Python; comfort with TypeScript is welcome
- 03
Hands-on with embeddings, vector and hybrid search, and prompt design as engineering
- 04
Experience evaluating model outputs systematically
- 05
Solid grounding in statistics and classical ML (scikit-learn, XGBoost, PyTorch)
Fig 7.3Nice to have
Helps, not required.
- Text-to-SQL or BI semantic layers
- Speech recognition
- MLflow, SageMaker or Vertex
- Hindi or another Indian language
Fig 7.4How we hire
Four steps, two weeks.
- 01
Apply
Send a CV and a few lines about something you built and what you would do differently. No cover letter needed.
- 02
Intro call
30 minutes with an engineering lead. We tell you about the work; you tell us what you want.
- 03
Technical round
A short take-home or a live session, your choice. Real problems from our codebase, AI tools allowed.
- 04
Final conversation
With leadership. Expectations, growth, compensation. Offer within a week of this call.
Apply for AI/ML Engineer.
We reply within a week.
A CV and a few lines about your work are enough. We tell you where you stand after every step.