Sathus AI 2.0 is now generally available — evaluation harnesses and guardrails included. Explore
We hire senior engineers, data architects, and AI researchers who want to own production systems — not maintain inherited technical debt. If you want to ship code that runs in critical enterprise environments, we should talk.
Every engineer at Sathus operates as a senior contributor. We hire principals, architects, and leads — not generalists. You will work on production systems handling financial transaction data, patient records, and real-time AI inference.
You will own architecture decisions, code quality, and production delivery without layers of bureaucracy. Our squads move from design to deployed feature in days, not quarters.
Annual learning stipend for conferences, certifications, and courses. Internal engineering guild sessions. Direct exposure to frontier AI, lakehouse architectures, and MCP protocol development.
The systems we build carry clinical decisions, financial compliance obligations, and critical infrastructure. If you want your code to matter beyond demos, Sathus is for you.
Remote-first engineering with hybrid anchor in Bengaluru. We judge engineers on the quality of their work, not presence in an office.
No sales quotas. No churn targets. Our culture is built around technical excellence, honesty, and long-term partnerships — with clients and with our team.
Market-leading base salaries with performance-linked bonuses aligned to client outcomes.
Full family health coverage including dental and vision, with top-tier hospital network access.
₹1,00,000 annual learning budget for conferences, certifications (AWS, Databricks, Kubernetes), and courses.
Uncapped leave policy with a minimum of 21 days encouraged. No guilt culture around time off.
Full equipment allowance, co-working access, and reliable async communication tooling.
Direct access to production AI agent systems, lakehouse pipelines, and real-time event meshes from day one.
We work at the frontier of enterprise AI, data engineering, and cloud infrastructure. This is the stack you will master.
AI & Agents
Data Platform
Cloud & Infrastructure
Frontend & Product
Backend Systems
Transparent, respectful of your time, and designed to assess genuine engineering depth — not whiteboard tricks.
We review every application personally. If your profile matches, you hear back within 5 business days.
A 60-minute engineering discussion with a principal from your domain — system design, tradeoffs, and engineering philosophy.
A focused take-home exercise (4–6 hours) relevant to your role. We value clarity of thinking over algorithmic gymnastics.
A 90-minute session with senior engineers covering architecture, past systems you have built, and production war stories.
A 30-minute conversation with our CTO or Founder to discuss culture, growth, and mutual fit.
We move fast on offers. Structured 30-day onboarding with a mentor, clear goals, and a real project from week one.
All roles are permanent, full-time positions. We do not hire contractors or temporary resources.
Architect agentic orchestration platforms, evaluation harnesses, RAG pipelines, and Model Context Protocol gateways for financial services and healthcare clients.
Design and build governed lakehouses on Databricks and Apache Iceberg. Lead streaming Kafka pipeline engineering and Unity Catalog governance implementations.
Design high-throughput backend microservices and APIs in .NET 9 Clean Architecture for core banking platforms and healthcare identity systems.
Build and operate enterprise landing zones, EKS/AKS Kubernetes clusters, and automated Terraform IaC pipelines with full GitOps governance.
We hire on a rolling basis for exceptional engineers. If you have deep expertise in AI systems, data platforms, or cloud infrastructure, send us your work directly.
