AI Engineer
Hyderabad, India · On-site · Full-time
- Posted 4d ago
- From Cornerstone’s careers page
- Location
- Hyderabad, India
- Work mode
- On-site
- Type
- Full-time
- Level
- Entry Level
- Experience
- 1+ years
- Department
- Software Development
Opens the listing on cornerstone.csod.com
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About the role
AI Engineer – Java & GenAI
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.
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About Cornerstone
Workforce readiness and talent intelligenceCornerstone provides a workforce platform for talent, learning, and workforce readiness.
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