Software Engineer

We are looking for a Senior Backend Java Engineer ( 7 to 8 yrs of exp )to join the Relay team. In this role, you will design and scale high-volume backend applications, lead the integration of AI/ML capabilities into Java services, and build autonomous agents that drive next-generation test automation across core product teams. Roles & Responsibilities: • Design and build high-volume, low-latency, and high-availability applications throughout the full software development lifecycle. • Write clean, testable, specification-compliant code, managing software components through release. • Integrate AI/ML capabilities, LLM APIs, and intelligent backend services (RAG, semantic search, automation) to power AI-driven workflows. • Build AI agents for automated root cause analysis (RCA), self-healing, and intelligent test automation. • Partner with Client product teams (e.g., Express, Firefly, Photoshop) to deliver end-to-end solutions, drive product adoption, and enable self-service platform engineering. • Leverage AI-assisted tools (e.g., GitHub Copilot, Cursor) to accelerate development and support continuous architectural improvements. Skills: TOP 5 Skills must have- Micro services, Multi Threading, Exp with AWS, Working exp with AI. Required Skills & Expertise • Java Core & Frameworks: 5–8 years of experience building scalable, multithreaded server-side applications using Java/Java EE, Spring Framework, and object-oriented design patterns. • Data & Performance: Deep proficiency with Relational Databases (SQL, high-performance transactional queries) and MongoDB, using ORMs (JPA2, Hibernate) optimized for speed and scalability. • AI/ML Integration: Hands-on experience integrating LLMs/AI APIs (OpenAI, Claude, Gemini) into Java services using frameworks like Spring AI or LangChain4j, including prompt engineering and context management. • AI Infrastructure & RAG: Familiarity with vector databases (e.g., Pinecone, Milvus, pgvector) and Retrieval-Augmented Generation (RAG) architecture to build reliable backend features. • Modern AI Practices: Practical experience with AI-assisted dev tools (Copilot, Cursor) alongside an understanding of model deployment, cost/latency optimization, and responsible AI guardrails (privacy, hallucination mitigation).