FullStack Developer with Gen AI

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.

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.

CONTRACTOR, FULL_TIME, PART_TIME