Senior Software Developer AI Platform Engineering Chennai

LetzBizz; Chennai; Hybrid; INR 4,200,000 - 6,000,000; Full time

Job summary

LetzBizz in Chennai, India, is seeking a Senior Software Developer for AI Platform Engineering (B2B Integration). This role combines Java-based microservices, cloud-native architectures, and AI workflows to deliver enterprise-grade platform capabilities.

You will collaborate with product and platform teams in an Agile setting, design scalable back-end services, implement AI features with LLMs and RAG, and ensure secure, observable, and maintainable solutions for global customers.

Qualifications

• 7–12 years of professional software development experience.
• Experience delivering enterprise-grade back-end applications.
• Strong Java, Spring Boot and microservices background.
• Practical knowledge of AI-enabled development and LLMs.
• Experience with event-driven architectures and Kafka.

Responsibilities

• Design and maintain enterprise-grade back-end services in Java/Spring Boot.
• Build scalable micro-services and APIs for AI-enabled platforms.
• Develop AI features using LLMs and RAG concepts.
• Implement cloud-native deployments with Docker and Kubernetes.
• Contribute to CI/CD pipelines and observability practices.
• Mentor teammates and participate in Agile ceremonies.

Skills

Java

Spring Boot

Microservices

REST APIs

SQL

Kafka

LLMs

RAG

Prompt engineering

Vector databases

Embeddings

Semantic search

GitHub Copilot

Claude

AI platforms

Education

Bachelor’s or Master’s degree in Computer Science/Software Engineering/IT

Tools

Docker

Kubernetes

AWS

Azure

CI/CD

Job description

Job Description:

AI Platform Engineering (B2B Integration)

Experience: 7+ yrs

Location Option: Chennai, Sholinganallur ( Client Location) – WFO HYBRID

Mandatory – ( Monthly 12 days; candidate should do WFO)

Notice: We’re looking only for Immediate joiners / candidates with a maximum of 15-20 days’ notice.

Job Description

Senior Software Developer – AI Platform Engineering (B2B Integration)

Location: Chennai, India (Hybrid / Remote within India)

Department: Product Development / AI Engineering

Working Model: Agile (Scrum)

Experience: 7–14 Years

Role Overview

We are looking for a highly motivated Senior Software Developer with strong engineering expertise and practical experience in modern AI technologies.

In this role, you will design and develop enterprise-grade services that combine Java-based micro-services, cloud-native architectures, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-driven workflows.

You will work closely with software engineers, architects, product owners, and platform teams to deliver scalable, secure, observable, and maintainable solutions for global enterprise customers.

This position is ideal for developers who enjoy building production-ready systems and applying AI technologies to solve real-world business and integration challenges.

Key Responsibilities

Platform Development

• Design, develop, and maintain enterprise-grade back-end services using Java and Spring Boot.
• Build scalable micro-services and APIs that support AI-enabled platform capabilities.
• Develop integrations between internal systems, cloud services, and external AI platforms.
• Implement event-driven architectures using Kafka or similar messaging technologies.
• Contribute to platform components that support enterprise-scale B2B integration scenarios.

AI Engineering

• Develop AI-powered application features using Large Language Models (LLMs).
• Implement Retrieval-Augmented Generation (RAG) solutions, semantic search, and knowledge retrieval capabilities.
• Design prompt orchestration, context management, and AI workflow logic.
• Integrate AI tools, external services, and agent-based workflows into enterprise applications.
• Contribute to the implementation of AI governance, guardrails, and responsible AI practices.
• Evaluate and adopt emerging AI frameworks, technologies, and engineering approaches.

Cloud & DevOps

• Develop and deploy cloud-native applications on modern cloud platforms.
• Build and maintain containerized workloads using Docker and Kubernetes.
• Contribute to CI/CD pipelines, deployment automation, and release processes.
• Support platform scalability, reliability, resilience, and operational excellence.

Engineering Excellence

• Implement automated testing strategies including unit, integration, and component testing.
• Participate in architecture discussions, design reviews, and code reviews.
• Apply software engineering best practices, clean code principles, and design patterns.
• Implement observability through logging, metrics, tracing, and monitoring.
• Troubleshoot and resolve issues across development, test, and production environments.
• Mentor junior team members and contribute to knowledge sharing within the team.

Agile Collaboration

• Actively participate in Scrum ceremonies and Agile development activities.
• Collaborate with cross-functional teams across engineering, architecture, product management, and operations.
• Contribute to continuous improvement initiatives and engineering excellence programs.

Required Technical Skills

Core Backend Engineering

• Strong hands-on experience with Java.
• Strong experience with Spring Boot and enterprise application development.
• Solid understanding of microservice architectures and distributed systems.
• Experience designing and developing REST APIs.
• Strong SQL and relational database knowledge (PostgreSQL, Oracle, or similar).
• Experience with event-driven systems and messaging technologies such as Kafka.

AI & Generative AI

• Experience working with AI-assisted development tools such as GitHub Copilot, Claude, or similar solutions.
• Experience building applications that leverage Large Language Models (LLMs).
• Practical knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Understanding of prompt engineering, context management, and AI workflow patterns.
• Familiarity with vector databases, embeddings, and semantic search concepts.
• Experience with AI application frameworks such as Spring AI, LangChain, LangGraph, or similar.

Cloud & Platform Technologies

• Experience with Docker and Kubernetes.
• Familiarity with AWS, Azure, or comparable cloud platforms.
• Experience with CI/CD pipelines and DevOps practices.
• Understanding of cloud-native application design principles.

Software Engineering

• Strong understanding of software quality, testing, and maintainability.
• Experience with Git-based development workflows.
• Knowledge of design patterns and modern software architecture principles.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

The following skills are advantageous but not mandatory:

• Experience with Agentic AI architectures and AI orchestration frameworks.
• Exposure to Model Context Protocol (MCP) or similar tool integration approaches.
• Experience with OpenTelemetry and modern observability platforms.
• Knowledge of enterprise integration technologies, API management, or B2B integration concepts.

Professional Experience

• 7 –12 years of professional software development experience.
• Strong track record of delivering enterprise-grade back-end applications.
• Experience developing micro-services and cloud-native solutions.
• Experience working within Agile software development teams.
• Practical experience with AI-enabled applications is highly desirable.

Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
• Equivalent practical experience will also be considered.

Interview Process

Internal Technical – Virtual → Client L1 – Virtual → Client L2 – F2F → HR – Virtual

Immediate Joiners Preferred.