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Cornerstone OnDemand
AI Engineer
Edtech
Edtech.com's Summary
Cornerstone OnDemand is hiring an AI Engineer to build Java and Spring Boot backend services that power its AI-driven enterprise applications. The role centers on retrieval-augmented generation, data ingestion workflows, and integrations between AI services and enterprise systems. The engineer works alongside senior engineers and AI teams while growing hands-on skills in generative AI and agentic workflows.
Highlights
- Develop and maintain scalable backend services using Java and Spring Boot.
- Build REST APIs and backend components for AI-powered enterprise applications.
- Contribute to Retrieval-Augmented Generation applications backed by vector databases and semantic search.
- Create data ingestion and processing workflows, including structured JSON inputs and outputs with schema validation.
- Integrate AI services with enterprise databases, APIs, and backend systems.
- Support AI orchestration and agentic workflows under the guidance of senior engineers.
- Deploy containerized applications to AWS and take part in code reviews, debugging, and production support.
- Bring 1-2 years of hands-on Java development with Spring, JUnit, and Mockito unit testing.
- Know relational databases such as PostgreSQL or MySQL, plus SQL tuning basics and exposure to NoSQL.
- Understand LLM, RAG, and prompt engineering concepts, with Docker and CI/CD exposure preferred.
AI Engineer Full Description
AI Engineer – Java & GenAI
Location: Hyderabad
Experience: 1–2 Years
Employment Type: Full-Time
About the Role:
We are looking for a motivated AI Engineer with 1–2 years of experience who has strong hands-on expertise in Java and Spring Boot and an interest in building modern AI-powered applications.
The ideal candidate will work closely with senior engineers and AI teams to develop scalable backend services and contribute to RAG applications, AI workflows, data processing pipelines, and enterprise AI integrations.
This role is ideal for a software engineer with a strong Java foundation who wants to build expertise in Generative AI, LLMs, RAG, and AI application development.
In this role you will…
- Develop and maintain scalable backend services using Java and Spring Boot.
- Build REST APIs and backend components for AI-powered enterprise applications.
- Contribute to the development of Retrieval-Augmented Generation (RAG) applications.
- Work with vector databases/search technologies to support semantic search and retrieval.
- Develop data ingestion and processing workflows for AI applications.
- Implement structured JSON-based inputs and outputs, including schema validation and error handling.
- Integrate AI services with enterprise databases, APIs, and backend systems.
- Contribute to AI orchestration and agentic workflows under the guidance of senior engineers.
- Write clean, maintainable, testable, and well-documented code.
- Apply object-oriented programming and established software design patterns.
- Participate in code reviews, debugging, performance optimization, and production support.
- Work with cloud-based deployments and containerized applications on AWS.
You’ve got what it takes if you have…
- Strong Java and Spring Boot fundamentals are essential.
- Good problem-solving and debugging skills.
- Ability to understand existing systems and contribute to production-grade applications.
- Strong interest in Generative AI and emerging AI technologies.
- Willingness to learn new AI frameworks, tools, and cloud technologies.
- Good communication and collaboration skills.
- Ability to work effectively with senior engineers, architects, and AI/ML teams.
Java & Backend Development — Mandatory
- 1–2 years of hands-on software development experience.
- Strong programming skills in Java.
- Good hands-on experience with Spring / Spring Boot.
- Strong understanding of: Object-Oriented Programming; Collections and Exception Handling; Java Streams and Lambda expressions; REST APIs; Multithreading and concurrency basics; Dependency Injection; Spring Boot application development.
- Understanding of common design patterns and clean coding practices.
- Experience with unit testing using frameworks such as JUnit and Mockito.
Database — Mandatory:
- Good knowledge of relational databases such as PostgreSQL or MySQL.
- Strong understanding of SQL, joins, indexing, and query optimization basics.
- Exposure to MongoDB or another NoSQL database.
AI / GenAI
- Basic to good understanding of Generative AI and LLM concepts.
- Understanding of RAG concepts, including: Document ingestion; Chunking; Embeddings; Vector search; Retrieval; Prompt construction.
- Understanding of prompt engineering and structured LLM outputs.
- Interest in learning and working with AI agents and agentic workflows.
Cloud & DevOps
- Basic hands-on experience with AWS services.
- Understanding of cloud deployment concepts and containerized applications.
- Exposure to Docker and CI/CD pipelines is preferred.
- Familiarity with services such as AWS ECS, EKS, Lambda, S3, or similar services is a plus.
#LI-Onsite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. We are proud to be an EOE Protected Veterans/Disability workplace and an affirmative action employer. If you have a disability or special need that requires accommodation, please contact us at [email protected].
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