AI Engineer

CyberU, Inc.

Hyderabad

On-site

INR 1,500,000 - 2,800,000

Full time

4 days ago
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Job summary

Cornerstone OnDemand is seeking an AI Engineer in Hyderabad to lead the development of AI-driven automation solutions and GenAI applications. You will build backend services using Java and/or Python, integrate LLMs into production systems, and deploy with Docker and Kubernetes.

The role emphasizes strong engineering fundamentals, scalable AI tooling, and collaboration across teams to deliver impact across the organization.

Qualifications

  • 2–4 years of experience building production backend services in Java and/or Python.
  • Solid understanding of REST API design, distributed systems, async programming, and service-oriented architecture.
  • Experience integrating LLMs into production systems.
  • Familiarity with at least one vector database or semantic search system (Weaviate, Pinecone, pgvector, etc.)
  • Experience with containerized deployments — Docker and Kubernetes
  • Strong engineering fundamentals: test coverage, code review quality, and observable, maintainable systems.

Responsibilities

  • Lead building real-world AI-driven automation solutions and GenAI applications.
  • Implement AI models and integration points to enhance business processes.
  • Collaborate across teams to deploy scalable AI-powered services.

Skills

Java
Python
REST API
Distributed systems
Async programming
LLMs in prod
Vector databases
Cloud platforms
AI/GenAI

Tools

Docker
Kubernetes

Job description

Job Description:

AI Engineer

This role is Office Based,Hyderabad Office

AI Engineer

Cornerstone OnDemand is looking for a motivated AI Engineer who willlead the building of real-world experience with AI technologies using AWS, Claude,and Generative AI tools. You will be responsible for building intelligentautomation solutions, implementing AI models and creating custom Gen AIapplications that enhance business processes and drive impact across the organizationsof the world.

Youve Got What It Takes If You Have…

Requirements:

  • 2–4 years of experience buildingproduction backend services in Java and/or Python.
  • Solid understanding of REST APIdesign, distributed systems, async programming, and service-orientedarchitecture.
  • Experience integrating LLMs intoproduction systems.
  • Familiarity with at least one vector database orsemantic search system (Weaviate, Pinecone, pgvector, etc.)
  • Experience with containerizeddeployments — Docker and Kubernetes
  • Strong engineering fundamentals:you care about test coverage, code review quality, and observable, maintainablesystems.

Nice to Have:

  • Exposure to cloud platforms(Azure, AWS, or GCP)
  • Familiarity with tools like Git, REST APIs, orbasic data processing
  • Experience with prompt engineering orexperimenting with LLMs (ChatGPT, Copilot, etc.)
  • Personal or academic projectsinvolving AI or automation

#LI-onsite


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.

Check us out on LinkedIn, Comparably, Glassdoor, and Facebook!

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