Senior Al Engineer

CyberU, Inc.

Hyderabad

On-site

INR 1,200,000 - 2,000,000

Full time

2 days ago
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Job summary

Cornerstone OnDemand is seeking a Senior AI Engineer to build end-to-end AI-powered features for workforce analytics. You will integrate LLMs, design scalable backend services, and craft reactive frontend work with React/TypeScript.

You will collaborate with data science, product, and platform engineering to deliver real-time insights, semantic search, and robust architectures in a production environment. Office-based in Hyderabad.

Qualifications

  • 3–5 years of production backend experience.
  • Experience with REST APIs, distributed systems, and SOA.
  • Experience integrating LLMs into production systems.
  • Willingness to work full-stack with TypeScript/React is a plus.

Responsibilities

  • Build and own backend features — design, implementation, testing, code review, and production monitoring.
  • Work on LLM integration layer: streaming AI responses, prompt engineering, structured output parsing, and response validation.
  • Contribute to 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 NL-to-SQL pipelines that translate natural-language questions into validated analytics queries.
  • Participate in architecture discussions, technical design reviews, and cross-team collaborations.

Skills

Backend development
REST API design
Distributed systems
LLM integration
Testing and observability

Tools

TypeScript
React
Docker
Kubernetes
AWS
Weaviate
Pinecone

Job description

Job Description:

Were looking for a

Senior Al Engineer

This role is

Office Based,Hyderabad Office

Senior AI Engineer

Cornerstone OnDemand is looking for a motivated AI Engineer to join ourWorkforce Intelligence team. Youll work on an AI-powered assistant that helpsmanagers and HR leaders understand their teams – surfacing skill gaps, careerpathways, and organizational insights through natural-language conversationsbacked by LLMs and real-time analytics.

In this role, youll build and ship features end-to-end across ourbackend 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 integrationlayer: streaming AI responses, prompt engineering, structured outputparsing, and response validation.
  • Contribute to our RAG andsemantic search architecture — hybrid vector search, caching strategies,and data ingestion pipelines.
  • Build rich, interactive frontendexperiences in React/TypeScript that render AI-generated content in realtime.
  • Improve our NL-to-SQL pipelinethat translates natural-language questions into validated analyticsqueries.
  • Participate in architecturediscussions, technical design reviews, and cross-team collaborations.

Youve got what it takes if you have...

  • 3–5 years of experience buildingproduction backend services in any major language (Java, Python, Go,etc.).
  • Working experience withTypeScript and React, or a strong willingness to work full-stack.
  • Solid understanding of REST APIdesign, distributed systems, and service-oriented architecture.
  • Experience integrating LLMs intoproduction systems — prompt design, streaming responses, or structuredoutput handling.
  • Experience with AWS services andcontainerized deployments (Docker, Kubernetes).
  • Strong engineering fundamentals:you care about test coverage, code review quality, and observable,maintainable systems.

Nice to have:

  • Familiarity with vector databasesor semantic search systems (Weaviate, Pinecone, pgvector, etc.).
  • Experience with reactive or asyncprogramming patterns (WebFlux, SSE streaming, etc.).
  • Exposure to analytics databases(ClickHouse, Snowflake, or similar).
  • Familiarity with Redis forcaching, session state, or pub/sub.
  • Experience with monorepo tooling(Nx, Turborepo, etc.).
  • Hands-on experience with promptengineering, RAG architectures, or AI agent patterns.

Our Culture:

Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.

Who We Are:

At Cornerstone, we believe in AI that works in the service of people, amplifying their judgment to drive high-performing, future-ready organizations forward. Cornerstone Workforce AI™, the intelligence platform for workforce readiness, brings together workforce and labor market data into a proprietary Cornerstone People Graph™, translating signals into intelligence, targeting learning where it matters, developing critical skills, and surfacing hidden talent. Delivered as an open, enterprise platform across whatever application your people work in every day, Cornerstone Workforce AI is built for scale, security, and trust, with certified AI guardrails. As an industry leader, Cornerstone is helping approximately 7,000 organizations, 140M+ users, across 186 countries build continuous workforce readiness.

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