SDE III - Applied AI

GreyOrange; Bengaluru; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

GreyOrange, Inc. in Bengaluru is hiring a backend developer focused on designing, developing, and maintaining scalable Java applications, with emphasis on AI-enabled features. You will build REST APIs, microservices, and integrate generative AI/Large Language Models, including RAG, embeddings, and vector databases.

Collaboration with AI, product, and engineering teams is essential. The role requires strong Core Java, Spring, Docker/Kubernetes, cloud, and CI/CD practices to ensure secure,

Qualifications

• Proficient in Java programming with strong backend skills.
• Experience with Spring Boot, Hibernate and microservices.
• Design RESTful APIs and backend architecture.
• Strong knowledge of multithreading and concurrency.
• Experience with SQL and NoSQL databases.
• Experience integrating AI/LLM APIs and RAG is a plus.

Responsibilities

• Design, develop, and maintain scalable backend applications in Java.
• Integrate AI features and LLM services into enterprise apps.
• Develop REST APIs and microservices for AI-driven solutions.
• Work with generative AI, LLMs, and AI-based solutions.
• Integrate LLM APIs and AI services into Java apps.
• Explore and implement Retrieval-Augmented Generation (RAG).
• Work with vector databases, embeddings, semantic search.
• Develop intelligent automation and decision-making capabilities.
• Collaborate with product, engineering, and AI teams.
• Ensure performance, security, reliability, and maintainability.

Skills

Core Java

Multithreading

OOP concepts

RESTful APIs

Microservices

SQL/NoSQL

Tools

Spring Boot

Hibernate

Docker

Kubernetes

AWS

GCP

Azure

Git

CI/CD

LangChain

LLM APIs

Job description

Responsibilities

• Design, develop, and maintain scalable backend applications using Java.
• Build and integrate AI-powered features into existing enterprise applications.
• Develop REST APIs and microservices for AI-driven applications.
• Work with generative AI, large language models (LLMs), and AI-based solutions.
• Integrate LLM APIs and AI services into Java-based applications.
• Explore and implement Retrieval-Augmented Generation (RAG) solutions.
• Work with vector databases, embeddings, and semantic search.
• Develop intelligent automation and decision-making capabilities.
• Collaborate with product, engineering, and AI teams to deliver scalable solutions.
• Ensure application performance, security, reliability, and maintainability.

The core requirements for the job include the following:

Core Java and Backend Development:

• Strong proficiency in Core Java.
• Spring Boot, Spring Framework, and Hibernate.
• Microservices architecture.
• RESTful APIs and backend system design.
• Multithreading, concurrency, and OOP concepts.
• SQL/NoSQL databases.

AI / Generative AI:

• Hands-on experience with generative AI and LLMs.
• Experience integrating OpenAI, Gemini, Claude, or similar LLM APIs.
• Knowledge of RAG architecture and implementation.
• Understanding of embeddings, vector databases, and semantic search.
• Exposure to LangChain, LangGraph, or similar AI orchestration frameworks.
• Prompt engineering and AI application development.
• Familiarity with AI agents and agentic workflows is an advantage.

Additional Skills:

• Kafka or other messaging systems.
• Docker and Kubernetes.
• AWS / GCP / Azure.
• Git, CI/CD, and Agile development practices.