AI Engineer

EdCast; Pune District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

EdCast is seeking an AI Engineer with a strong Java and Spring Boot foundation to build scalable backend services for AI-powered enterprise applications in Hyderabad. You will contribute to GenAI workflows, RAG applications, and data processing pipelines, collaborating with AI teams and senior engineers.

The role emphasizes hands-on development, API design, and deploying containerized solutions on AWS, with opportunities to grow in AI agentic workflows and modern AI toolchains.

Qualifications

• 1–2 years of hands-on software development.
• Strong Java and Spring Boot fundamentals.
• Experience with REST APIs and enterprise backend systems.
• Knowledge of SQL and relational databases; exposure to NoSQL is a plus.
• Familiarity with AWS services, Docker, and CI/CD pipelines.

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 RAG applications and AI workflows.
• Work with vector databases and semantic search technologies.
• Develop data ingestion and processing pipelines for AI applications.
• Ensure JSON-based inputs/outputs with schema validation and error handling.
• Integrate AI services with enterprise databases, APIs, and backend systems.
• Participate in code reviews, debugging, and production support.
• Work with AWS-based cloud deployments and containerized apps.

Skills

Java

Spring Boot

REST APIs

SQL

AWS

Docker

NoSQL

GenAI

LLMs

Tools

AWS

Docker

PostgreSQL/MySQL

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.

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/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.

What You’ve Got to Bring

• 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.

Qualifications

• 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.

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