Job Title: FullStack Developer with Gen AI
Location: Texas Plano
Years of Experience: 7 10 Years
Job 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.
The pay range for this role is $140k - $150k 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.
Thanks
Regards 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 at