AI Engineer

Cornerstone; Pune District; Presencial; INR 900.000 - 1.800.000; Jornada completa

Descripción de la vacante

Cornerstone is seeking an AI Engineer with 1–2 years of Java backend experience to build scalable AI-powered applications. You will develop backend services using Java and Spring Boot, create REST APIs, and contribute to RAG workflows and AI data pipelines.

You will collaborate with senior engineers on AI integration, data processing, and cloud deployments, while embracing modern AI frameworks and agentic workflows. Applicants should be keen to grow in Generative AI and cloud tech.

Formación

• 1–2 years of hands-on software development experience.
• Strong Java fundamentals and Spring Boot experience.
• Interest in Generative AI, LLMs, RAG and AI application development.

Responsabilidades

• Develop and maintain scalable backend services using Java and Spring Boot.
• Build REST APIs and backend components for AI-powered applications.
• Contribute to Retrieval-Augmented Generation (RAG) applications.
• Work with vector databases to support semantic search and retrieval.
• Design data ingestion and processing workflows for AI projects.
• Implement structured JSON inputs/outputs with schema validation and error handling.
• Integrate AI services with enterprise databases and APIs.
• Participate in AI orchestration and agentic workflows under guidance.
• Write clean, well-documented, testable code and follow patterns.
• Assist with code reviews, debugging, and production support.
• Work with AWS cloud deployments and containerized apps.

Conocimientos

Java

Spring Boot

GenAI

RAG

REST APIs

Problem Solving

Team Collaboration

Herramientas

AWS

Docker

CI/CD

Descripción del empleo

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.

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