AI Engineer

Cornerstone OnDemand; Pune District; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Cornerstone OnDemand is seeking an AI Engineer with 1–2 years of experience to build scalable Java/Spring Boot backend services and AI-powered applications in Hyderabad. You will develop REST APIs, contribute to RAG workflows, and collaborate with AI/ML teams on data processing pipelines and enterprise integrations.

The role emphasizes clean code, unit testing, and cloud deployments on AWS, with opportunities to grow in Generative AI, LLMs, and AI agent workflows.

Qualifications

• 1–2 years of hands-on software development experience.
• Strong Java and Spring Boot fundamentals.
• Experience with REST APIs and backend architecture.
• Interest in Generative AI and LLM concepts.
• Willingness to learn AI frameworks and cloud technologies.
• Good communication and collaboration with senior teams.
• Ability to contribute to production‑grade applications.

Responsibilities

• 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 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.

Skills

Java

Spring Boot

REST APIs

RAG concepts

Vector databases

AI services integration

Unit testing

AWS

Docker

Tools

PostgreSQL

MySQL

MongoDB

JUnit

Mockito

Job 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.

Inthis 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’vegot 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:

1. Object‑Oriented Programming.

2. Collections and Exception Handling.

3. Java Streams and Lambda expressions.

4. REST APIs.

5. Multithreading and concurrency basics.

6. Dependency Injection.

7. 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:

1. Document ingestion

2. Chunking

3. Embeddings

4. Vector search

5. Retrieval

6. 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. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at [e-mail]