Senior Al Engineer

Cornerstone OnDemand · Hyderabad

Source and collection record

Last observed by our collector: 9 October 2026 at 12:36 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: req11519

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

Al Engineer – India This role is Office Based, Hyderabad Office Cornerstone OnDemand is looking for a motivated AI Engineer to join our Workforce Intelligence team. You'll work on an AI-powered assistant that helps managers and HR leaders understand their teams — surfacing skill gaps, career pathways, and organizational insights through natural-language conversations backed by LLMs and real-time analytics. In this role, you'll build and ship features end-to-end across our backend and React/TypeScript frontend, working closely with data science, product, and platform engineering. In this role, you will… Build and own backend features — design, implementation, testing, code review, and production monitoring. Work on our LLM integration layer: streaming AI responses, prompt engineering, structured output parsing, and response validation. Contribute to our RAG and semantic search architecture — hybrid vector search, caching strategies, and data ingestion pipelines. Build rich, interactive frontend experiences in React/TypeScript that render AI-generated content in real time. Improve our NL-to-SQL pipeline that translates natural-language questions into validated analytics queries. Participate in architecture discussions, technical design reviews, and cross-team collaborations. You’ve Got What It Takes If You Have… 3–5 years of experience building production backend services in any major language (Java, Python, Go, etc.). Working experience with TypeScript and React, or a strong willingness to work full-stack. Solid understanding of REST API design, distributed systems, and service-oriented architecture. Experience integrating LLMs into production systems — prompt design, streaming responses, or structured output handling. Experience with AWS services and containerized deployments (Docker, Kubernetes). Strong engineering fundamentals: you care about test coverage, code review quality, and observable, maintainable systems. Extra dose of awesome if you have… Familiarity with vector databases or semantic search systems (Weaviate, Pinecone, pgvector, etc.). Experience with reactive or async programming patterns (WebFlux, SSE streaming, etc.). Exposure to analytics databases (ClickHouse, Snowflake, or similar). Familiarity with Redis for caching, session state, or pub/sub. Experience with monorepo tooling (Nx, Turborepo, etc.). Hands-on experience with prompt engineering, RAG architectures, or AI agent patterns #LI-Onsite

Collected experience requirement

3-5 years