3 years
0 Lacs
Posted:1 day ago|
Platform:
On-site
Full Time
o AWS Bedrock (Claude, Titan)
o Google Cloud Gemini Enterprise
o OpenAI GPT APIs (via Azure or OpenAI platform)
2. Build secure, scalable AI inference flows, including throttling, fallback, and caching mechanisms.
3.Support Retrieval-Augmented Generation (RAG) pipelines using LangChain, LangGraph, and vector databases.
4.Optimize latency, cost, and throughput for AI-enabled services.
Work with platform and product teams to enforce secure deployments, encryption (TLS, KMS, IAM).
Automate role-based access controls and service provisioning.
Lead infrastructure incident response, root cause diagnostics, and uptime management in production environments.
Automate testing, deployment, and rollback of AI services and platform features.
Implement event-driven and lazy approval workflows for secure and efficient platform operations.
Scale internal tools and platforms to support rapid prototyping and stable production delivery.
Experience deploying LLM applications with real-world data pipelines and observability.
· Certification in AWS (e.g., DevOps Engineer, Solutions Architect).
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Gurugram, Haryana, India
Salary: Not disclosed
Gurugram, Haryana, India
Salary: Not disclosed
