Java Back End Developer with AI

Net Connect; Chennai; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Net Connect in Chennai is seeking a senior backend engineer to lead the design and development of high-availability microservices using Java and Spring Boot.

The role emphasizes scalability, code excellence, and API design, with a secondary focus on AI agent orchestration and RAG pipelines. You will collaborate with DevOps to manage CI/CD, containers, and cloud deployments, and you will integrate AI capabilities into existing services.

Qualifications

• Lead the design and implementation of high-availability, distributed microservices using Java and Spring Boot.
• Develop and optimize backend systems to handle high-throughput transactions and large-scale data processing.
• Drive technical excellence through rigorous code reviews, unit testing (JUnit/Mockito), and SOLID design.
• Design and maintain secure, scalable RESTful and/or gRPC APIs.
• Collaborate with DevOps to manage CI/CD pipelines, Docker/Kubernetes, and cloud deployment.
• Integrate AI/LLM orchestration capabilities with existing Spring Boot microservices.

Responsibilities

• Architect and implement microservices with Java/Spring Boot.
• Ensure system performance and reliability under scale.
• Implement CI/CD and containerization pipelines.
• Build AI agent orchestration features with LangChain/LangGraph.
• Integrate vector DBs for RAG and semantic search.

Skills

Java

Spring Boot

Distributed systems

REST APIs

Design Patterns

Unit testing

Code reviews

SOLID principles

CI/CD

Tools

Docker

Kubernetes

Git

Maven/Gradle

PostgreSQL

MongoDB

Kafka

RabbitMQ

Job description

Responsibilities

Direct Responsibilities

Core Backend Engineering (Primary Focus)

• Architecture & Design: Lead the design and implementation of high-availability, distributed microservices using Java and Spring Boot.
• System Scalability: Develop and optimize complex backend systems to handle high-throughput transaction volumes and large-scale data processing.
• Code Excellence: Drive technical excellence through rigorous code reviews, unit testing (JUnit/Mockito), and adherence to SOLID principles and Design Patterns.
• API Management: Design and maintain secure, scalable RESTful and/or gRPC APIs.

DevOps Integration: Collaborate with DevOps teams to manage CI/CD pipelines, containerization (Docker/Kubernetes), and cloud deployment

Contributing Responsibilities.

AI Agent & LLM Orchestration (Secondary Focus)

• Agentic Workflows: Design and deploy autonomous AI Agents capable of reasoning, tool-use (Function Calling), and multi-step task execution.
• Orchestration Frameworks: Implement AI logic using frameworks such as LangChain, LangGraph, or AutoGen.
• RAG Implementation: Build and optimize Retrieval-Augmented Generation (RAG) pipelines, integrating Vector Databases (e.g., Pinecone, Milvus, Weaviate) with enterprise data.
• Prompt Engineering & Optimization: Develop sophisticated prompt templates and fine-tune agentic reasoning to minimize hallucinations and ensure deterministic outputs in production.

Integration: Seamlessly integrate LLM capabilities into existing Spring Boot microservices to automate complex business logic.

Primary (Backend):

• Languages: Expert-level Java (11/17/21).
• Frameworks: Spring Boot, Spring Cloud, Spring Security, Spring Data.
• Data Management: Proficiency in Relational Databases (PostgreSQL, Oracle) and NoSQL (MongoDB, Cassandra).
• Messaging/Streaming: Experience with Kafka, RabbitMQ, or similar event-driven architectures.
• Tools: Maven/Gradle, Git, Docker, Kubernetes.

Secondary (AI/ML):

• AI Orchestration: LangChain, LangGraph, or Haystack.
• LLM Knowledge: Deep understanding of OpenAI API, Anthropic, or open-source models (Llama, Mistral).
• Vector DBs: Experience with vector embeddings and similarity search.

Python (Complementary): Proficiency in Python for prototyping AI logic and interacting with AI ecosystems.