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

- Solid 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.

📌 Java AI Developer (Hyderabad)
🏢 Infosys
📍 Hyderabad