FullStack Developer with Gen AI

Plano, TX, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
Part Time
On-site
Compensation information provided in the description
Fitment

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Job Details

Skills

  • Application Development
  • Software Development
  • Banking
  • Finance
  • Systems Design
  • Use Cases
  • FOCUS
  • Optimization
  • Innovation
  • Emerging Technologies
  • Collaboration
  • Research
  • Test-driven Development
  • Domain-driven Design
  • Management
  • Python
  • Scripting
  • Amazon Web Services
  • API
  • LangChain
  • Orchestration
  • Prompt Engineering
  • Code Review
  • GitHub
  • Spring Framework
  • Apache Camel
  • Enterprise Service Bus
  • Messaging
  • Apache ActiveMQ
  • React.js
  • HTML5
  • Cascading Style Sheets
  • Css3
  • Ajax
  • jQuery
  • DevOps
  • Amazon EC2
  • Amazon S3
  • Amazon SageMaker
  • Docker
  • Kubernetes
  • Jenkins
  • Ansible
  • Git
  • Database
  • Oracle
  • Vector Databases
  • Testing
  • Cucumber
  • Behavior-driven Development
  • POSTMAN
  • JIRA
  • Apache Maven
  • Gradle
  • Apache Spark
  • Operating Systems
  • Microsoft Windows
  • Unix
  • IBM AIX
  • Artificial Intelligence
  • Java
  • Machine Learning (ML)
  • Generative Artificial Intelligence (AI)
  • Microservices
  • Apache Kafka
  • Cloud Computing
  • Leadership
  • Mentorship
  • Insurance
  • Law
  • SAP BASIS
  • Recruiting
  • ADA

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10236892
  • Position Id: OOJ - 5545-4546-1785795165
  • Posted 1 hour ago
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