GenAI Developer

Tech Mahindra; Plano, Northern (TX, KY); On-site; USD 110,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

Paid time off

Job summary

Tech Mahindra is seeking a seasoned Generative AI Java Developer to design and deliver scalable AI-enabled enterprise applications. You will work with AWS Bedrock, LLMs, and microservices to build robust systems, integrating AI capabilities into banking and financial domains.

The role emphasizes collaboration with data scientists and product teams, leadership in engineering best practices, and a strong focus on scalable, secure Java solutions. Competitive compensation is offered.

Qualifications

• Bachelor's degree or higher in a related field.
• 8+ years in AI/ML engineering and enterprise Java development.
• Proven track record deploying generative AI and ML models into production.

Responsibilities

• AI System Design & Implementation: architect scalable AI agent frameworks using foundational models and Bedrock.
• Bedrock Model Expertise: fine-tune and deploy Bedrock models for retrieval and RAG.
• Enterprise Java Development: build multi-tier Java apps with microservices, REST APIs, and Kafka integration.
• Optimization & Reliability: improve performance while managing costs and ensuring reliability.
• Innovation & Integration: integrate AI/ML capabilities into modern software stacks.
• Collaboration: work with data scientists, engineers, product managers and stakeholders.
• Leadership & Best Practices: mentor teams, enforce TDD/BDD/DDD, deliver quality software.
• Data & Infrastructure: manage large datasets, ML lifecycle tools, and containerization.

Skills

AWS Bedrock

GPT-4 API

LangChain

Transformers

RAG pipelines

LLM orchestration

Prompt engineering

GitHub Copilot

Spring Boot

Spring AI

Microservices

Apache Camel

Fuse ESB

Kafka

ActiveMQ Artemis

Event-driven

React

Oracle

Vector databases

Pinecone

Cucumber

JIRA

Maven

Gradle

Spark

Education

Bachelor's degree or higher

Tools

Docker

Kubernetes

Job description

A Bachelor’s or Higher Degree is the minimum entry required for the position

We are seeking a seasonedGenerative AI Java DeveloperwithexpertiseinAWS Bedrockand 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 proventrack recordin 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,leveragingfoundational models and AWS Bedrock.

Bedrock Model Expertise: Fine-tuneanddeployBedrock 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 withstrongfocus 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

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.

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 yearsin AI/ML engineering and enterprise Java development.

Proventrack recordin deploying ML models and generative AI systems into production.

Strongexpertiseinmicroservicesarchitecture,Kafka-based integrations, andcloud-native solutions.

Demonstrated leadership in mentoring teams and driving engineering best practices.

Fulltime: The pay range for this role is $110,000 - $130,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.

“AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates."

“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator [e-mail] .”