Generative AI Java Developer with expertise in AWS Bedrock

Tech Mahindra; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Tech Mahindra seeks a seasoned Generative AI Java Developer with AWS Bedrock expertise to design and build scalable, enterprise-grade Java applications integrated with AI/LLM capabilities.

The role emphasizes microservices, REST APIs, and Kafka integrations within banking and financial domains, with leadership in best practices and collaborative delivery.

Qualifications

• 8 years in AI/ML engineering and enterprise Java development.
• Proven track record deploying ML models and generative AI systems into production.
• Strong expertise in microservices architecture, Kafka-based integrations, and cloud-native solutions.
• Demonstrated leadership in mentoring teams and driving engineering best practices

Responsibilities

• Architect and develop scalable AI agent frameworks using foundational models and AWS Bedrock.
• Fine-tune and deploy Bedrock models for vector retrieval and RAG.
• Design, develop, and deliver multi-tier Java apps with microservices, REST APIs, and Kafka.
• Improve model performance while balancing compute cost and reliability.
• Integrate AI/ML capabilities and LLM tooling into software systems.
• Collaborate with data scientists, engineers, product managers, and stakeholders.
• Mentor teams and promote TDD, BDD, and DDD.
• Manage large datasets and containerization with Docker/Kubernetes.

Skills

Java

Python

AWS Bedrock

GPT-4 API

LangChain

Transformers

RAG pipelines

LLM orchestration

Prompt engineering

GitHub Copilot

Spring Boot

Microservices

Apache Kafka

Docker

Kubernetes

Jenkins

Maven

Gradle

Apache Spark

Tools

Docker

Kubernetes

MLflow

Kubeflow

Git

Jenkins

Postman

Maven

Gradle

Job description

Interested candidates can share their profiles to [e-mail]

Generative AI Java Developer with expertise in AWS Bedrock JD

We are seeking a seasoned Generative AI Java Developer with expertise in AWS Bedrock and enterprise-grade Java application development. This role combines advanced AI/ML engineering with robust software development skills to design, build, and deliver scalable, intelligent systems. The ideal candidate will have a proven track record in deploying generative AI solutions, architecting microservices, and integrating AI/LLM capabilities into modern enterprise applications particularly within banking and financial domains.

Key Responsibilities

• AI System Design & Implementation: Architect and develop scalable AI agent frameworks tailored to business needs, leveraging foundational models and AWS Bedrock.
• Bedrock Model Expertise: Fine-tune and deploy Bedrock models (LLMs, multimodal models) for use cases such as vector-based retrieval and Retrieval-Augmented Generation (RAG).
• Enterprise Java Development: Design, develop, and deliver multi-tier, enterprise-grade Java applications with strong focus on microservices, REST APIs, and Kafka-based integrations.
• Optimization & Reliability: Enhance model performance while balancing computational cost, ensuring deployed AI systems are robust, accurate, and maintainable.
• Innovation & Integration: Actively integrate AI/ML capabilities and LLM-based tooling into modern software systems, staying updated on emerging technologies.
• Collaboration: Work closely with data scientists, engineers, product managers, and stakeholders to translate AI research into production-ready systems.
• Leadership & Best Practices: Mentor teams, drive engineering excellence through TDD, BDD, and DDD, and ensure delivery of high-quality software solutions.
• Data & Infrastructure: Manage large datasets, model lifecycle tools (MLflow, Kubeflow), and containerization (Docker, Kubernetes) for reproducible, scalable environments.

Required Skills & Experience

Technical Skills

• Languages: Java (8/11/17), Python (scripting & AI automation).
• AI/ML & LLM: AWS Bedrock, OpenAI GPT-4 API, LangChain, Hugging Face Transformers, RAG pipelines, LLM orchestration, prompt engineering, AI-assisted code review (GitHub Copilot).
• Frameworks: Spring Boot, Spring AI, Microservices, Apache Camel, Fuse ESB.
• Messaging: Apache Kafka, ActiveMQ Artemis, event-driven architecture.
• Frontend: React JS, HTML5, CSS3, AJAX, jQuery.
• Cloud & DevOps: AWS (EC2, S3, Lambda, SageMaker), Docker, Kubernetes, Jenkins, Ansible, Git.
• Databases: Oracle (9i/10g/12c), vector databases (Pinecone, others).
• Testing & Tools: Cucumber (BDD), SonarQube, Postman, JIRA, Maven, Gradle, Apache Spark.
• Operating Systems: Windows, UNIX, IBM AIX.

Experience

• 8 years in AI/ML engineering and enterprise Java development.
• Proven track record in deploying ML models and generative AI systems into production.
• Strong expertise in microservices architecture, Kafka-based integrations, and cloud-native solutions.

Demonstrated leadership in mentoring teams and driving engineering best practices