ApplySarthiAI Platform Engineer (FinOps/Cost Management for AI Workloads)
Steinn Labs
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Preparing for this interview
4,328 open management roles are hiring right now across 365 companies, mostly in Bengaluru — so the questions repeat. Practise them before you sit with Steinn Labs.
Questions you are likely to be asked
- Why do you want to join Steinn Labs?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the AI Platform Engineer (FinOps/Cost Management for AI Workloads) at Steinn Labs interview free →**Contract Role for 6-8 Months Later you'll be converted as permanent with the client Until Contract: Work from Home (Remote) After Permanent: Work from Office to Client Location (Pune)** **Designation: AI Platform Engineer Experience: 4+ Years (Minimum) Budget: Max 14 LPA Immediate to 20 days Notice period is only allowed ** We're looking for an AI Platform Engineer to own the deployment, management, and optimization of our enterprise generative AI ecosystem. You'll lead the end-to-end rollout of key AI models — specifically Gemini Enterprise and Claude — ensuring seamless data connectivity, strong adoption tracking, and strict FinOps discipline. **Responsibilities:** Deploy and manage enterprise AI model integrations (Gemini Enterprise, Claude) Build and maintain data connectivity pipelines between AI platforms and internal systems Track usage, adoption, and ROI metrics across the AI ecosystem Own cost monitoring and optimization (FinOps) for AI spend Set up governance, access controls, and security practices for model usage Partner with product and business teams to drive adoption **Key Skills:** LLM platform deployment (Gemini Enterprise, Claude/Anthropic API, or similar) API integration and data pipeline development Cloud platforms (GCP/AWS/Azure) FinOps / cost management for AI workloads Usage analytics and dashboarding (adoption tracking) Understanding of enterprise AI governance and security Strong communication for cross-functional rollout
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Listed on wellfound · posted 2026-08-14. ApplySarthi collects openings and links to application pages; the role is advertised by Steinn Labs, not by us.