FullStack Developer with Gen AI//PLano, TX//C2C and W2

About the role

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.

Responsibilities

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

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.