Java Aiml Full Stack Engineer

Java AIML Full Stack Engineer 

Role Purpose
To design, develop, and maintain complex, end-to-end software solutions that integrate Artificial Intelligence and Machine Learning capabilities. You will build responsive user interfaces, scalable backend microservices, and ensure seamless integration with ML models to drive automation and data-driven decision-making across client’s financial platforms.

Key Responsibilities
Full Stack Development: Build and maintain scalable web applications using React.js or Angular for the frontend and Java (Spring Boot), Python (FastAPI/Django), or Node.js for the backend.
AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs.
Generative AI & LLMs: Develop applications leveraging GenAI, RAG (Retrieval-Augmented Generation) architectures, and Agentic frameworks (e.g., LangChain).
Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL (MongoDB, Cassandra) databases.
Cloud & DevOps: Deploy applications using AWS or Azure services. Build and maintain CI/CD pipelines using Jenkins, Docker, and Kubernetes (OpenShift).
Technical Excellence: Adhere to Test-Driven Development (TDD) and Behavior-Driven Development (BDD) practices to ensure code quality and security.

Skills & Qualifications
Frontend: React.js, TypeScript, HTML5, CSS3, Redux/Flux
Backend: Java 17+ (Spring Boot, Spring AI), Python, Microservices architecture
AI/ML Competency: Understanding of ML lifecycles, experience with PyTorch or TensorFlow, and exposure to GenAI/LLM platforms
Data & APIs: REST/GraphQL, Oracle/PostgreSQL, Kafka/RabbitMQ
Tools/DevOps: Git, Jenkins, Docker, Kubernetes, AWS/Azure, JIRA/Confluence
Soft Skills: Strong problem-solving, collaboration in Agile squads