Tech Mahindra

GenAI Developer

Tech Mahindra$110K — $130K *
Plano, TX 75025In-Person
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in AI/ML engineering and enterprise Java development.
  • Proven experience in deploying ML models and generative AI systems in production.
  • Strong expertise in microservices architecture and Kafka-based integrations.
  • Demonstrated leadership in mentoring teams and implementing engineering best practices.
  • Proficiency in Java (8/11/17) and Python for scripting and AI automation.

Responsibilities

  • Design and implement scalable AI agent frameworks using AWS Bedrock.
  • Fine-tune and deploy AWS Bedrock models for various AI use cases.
  • Develop enterprise-grade Java applications focusing on microservices and REST APIs.
  • Enhance model performance ensuring AI systems are robust and maintainable.
  • Integrate AI/ML capabilities into modern software systems and stay updated on technologies.
  • Collaborate with cross-functional teams to translate AI research into working systems.
  • Mentor teams and foster engineering excellence through best practices.

Benefits

  • Medical, vision, and dental insurance.
  • Life and disability insurance.
  • Paid time off including holidays and parental leave.
  • Sick leave as required by law.
Full Job Description
Job Summary

About the Role and Job:

Job Title: Gen AI with Java Developer

Location: Plano, TX

Model: Onsite

Job Type: Full time

Job Details:

Role Summary:

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.

Salary:

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."

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