Senior Java GenAI Engineer - W2 Only

Java & Backend Development · Design and develop scalable applications using Java 17/21, Spring Boot, Spring Cloud, and Microservices architecture. · Develop RESTful APIs and event-driven services using Kafka. · Implement secure applications using OAuth2, JWT, RBAC, and enterprise security standards. · Optimize performance, resiliency, and scalability of distributed systems. AI & Generative AI Solutions · Build and deploy AI-powered applications using OpenAI, Azure OpenAI, Claude, or similar LLM platforms. · Design Retrieval Augmented Generation (RAG) solutions using Vector Databases. · Develop AI Agents with tool calling, orchestration, memory management, and workflow automation. · Implement prompt engineering, semantic search, embeddings, and context management. · Integrate enterprise knowledge repositories with AI solutions. · Develop responsible AI guardrails, validation, and observability frameworks. Cloud & DevOps · Deploy applications on AWS, Azure, or Google Cloud Platform. · Build CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI. · Containerize services using Docker and Kubernetes. · Monitor production systems using Splunk, Grafana, Prometheus, ELK, or Cloud Monitoring solutions.

Core Java · Java 17/21 · Spring Boot · Spring Cloud · Hibernate/JPA · REST APIs · Microservices · Kafka · SQL & NoSQL Databases AI / GenAI · LLM Integration · OpenAI / Azure OpenAI APIs · Prompt Engineering · RAG Architecture · AI Agents · LangChain / LlamaIndex · Embeddings & Semantic Search · Vector Databases (Pinecone, Chroma, Weaviate, Milvus) · MCP (Model Context Protocol) · Function Calling & Tool Usage Cloud & DevOps · AWS / Azure / Google Cloud Platform · Docker · Kubernetes · CI/CD Pipelines · GitHub Actions / Jenkins · Terraform (Preferred) Databases · PostgreSQL · MongoDB · DynamoDB · Redis

· Snowflake Preferred · NVIDIA NIM · Agentic AI Frameworks · MLOps / LLMOps · FastAPI or Python · GraphRAG · Knowledge Graphs · Multi-Agent Systems"