No six-week onboarding theatre. You get repo access, a real ticket, and a reviewer on day one.
RAG at enterprise scale, multi-agent orchestration, private model governance — deployed, monitored, and paid for.
US and India delivery hubs with async-first practice. Output is measured, hours are not.
Dedicated upskilling time each cycle for certifications, research papers, and internal AI labs.
Open roles
AI Engineering
Design and ship retrieval pipelines and agent workflows that run inside client VPCs under real compliance constraints.
Applied ML
Own forecasting and risk-scoring models end to end — feature pipelines, training, deployment, and drift monitoring.
Product Engineering
Build the enterprise surfaces around our AI systems: dashboards, review consoles, and internal tooling clients live in daily.
Platform
Run the infrastructure our deployments land on — private VPCs, reproducible environments, and uptime that holds under audit.
Design
Make complex AI output legible and trustworthy. You will design the moments where people decide whether to trust a model.
Delivery
Bridge enterprise stakeholders and engineering squads — scope, sequence, and land programmes without losing technical depth.
Send what you have built and what you want to build next. We read everything, and we have opened roles for people before the role existed.
