Java AI Developer

Key Responsibilities

• Design and develop enterprise applications using Java and Spring Boot.
• Build and integrate AI/Generative AI solutions using LLMs and AI APIs.
• Develop RESTful APIs and Microservices for AI-powered applications.
• Integrate OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI platforms.
• Implement Retrieval-Augmented Generation (RAG) architectures.
• Work with vector databases and embedding models.
• Deploy applications on AWS/Azure cloud platforms.
• Collaborate with Data Scientists, AI Engineers, and Product teams.
• Optimize application performance, scalability, and security.

Required Skills

• Strong experience in Java 8/11/17+.
• Hands-on experience with Spring Boot, Spring MVC, Spring Security, Hibernate/JPA.
• Expertise in Microservices Architecture.
• Experience in Generative AI and LLM integration.
• Knowledge of Prompt Engineering and AI model orchestration.
• Experience with LangChain4j, Spring AI, or similar frameworks.
• Strong knowledge of REST APIs and API integrations.
• Experience with SQL/NoSQL databases.

AI/ML Skills

• Generative AI
• Large Language Models (LLMs)
• RAG (Retrieval-Augmented Generation)
• Vector Databases (Pinecone, ChromaDB, Weaviate, Elasticsearch)
• Embeddings and Semantic Search
• Prompt Engineering
• AI Agent Development
• LLM Fine-Tuning (preferred)

Cloud & DevOps Skills

• AWS (EC2, S3, Lambda, Bedrock, RDS)
• Docker & Kubernetes
• Jenkins/GitHub Actions
• Terraform (preferred)
• Git & CI/CD Pipelines

Preferred Skills

• Experience with Azure OpenAI or AWS Bedrock.
• Knowledge of Python for AI/ML integrations.
• Exposure to Machine Learning frameworks.
• Experience with Kafka or event-driven architectures.
• AI/ML certifications are a plus.