Job Description
Ovii's Interpretation of the Role
We need a full‑stack AI engineer to design, build, and operate the end‑to‑end infrastructure that powers Sarvam's sovereign AI platform. The role blends backend service development with deep systems work, offering high ownership of production‑grade platforms.
Role Snapshot
- Full‑stack AI platform engineer
- Backend services & API ownership
- Infrastructure design & operations
- Production‑grade system delivery
- High technical ownership
- Collaboration with product & GTM
Must-Have Requirements
- Python or Node.js backend development
- Docker and Kubernetes
- Infrastructure provisioning/scheduling
- Production‑grade system delivery
- infrastructure/systems work
- backend services
- production‑grade systems
Nice-to-Have Signals
- GPU compute (CUDA, GPU scheduling)
- Managed ML notebooks (Jupyter, SageMaker, Vertex AI)
- AWS or GCP cloud experience
- Metering/billing/quota systems
- Frontend development
- GPU/ML compute
- cloud provisioning
Work Setup
- Location: Bengaluru, India
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Education requirement
- Certifications
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Design and operate containerized infrastructure, including provisioning, scheduling, and orchestration
- Build and maintain backend services and APIs in Python or Node.js, integrating AI models
- Take prototypes to production, instrumenting, load‑testing, and improving reliability
- Set architecture and engineering standards as the platform scales
- Partner with product and GTM teams to translate real‑world requirements into a scalable platform
Good Fit If You Have
- Passion for deep systems work over surface‑level feature development
- Comfort moving between backend and occasional frontend tasks
- Eagerness to lead technical direction while moving fast
Skills
- Python / Node.js backend development
- Docker & Kubernetes containerization
- Infrastructure provisioning & scheduling
- Distributed systems fundamentals
- Production reliability & performance engineering
- API design & integration
- GPU/ML compute (preferred)
- AWS or GCP cloud platforms (preferred)
- Metering, billing, quota systems (preferred)