Skills & Qualifications :
• Bachelor/Master’s in Computer Science or relevant fields
• 5+ years of relevant software engineering experience
• Strong sense of ownership
• Excellent Java and object-oriented development skills
• Experience in building and scaling microservices
• Strong problem-solving skills, technical troubleshooting, and diagnosing
• Expected to be a role model for young engineers with a strong sense of code quality and enforce code quality within the team
• Strong knowledge in RDBMS and NoSQL technologies • Experience in developing backends for enterprise systems (eCommerce / manufacturing / supply chain, etc.)
• Excellent understanding of debugging, performance, and optimization techniques
• Experience with Java, MongoDB, MySQL, AWS technologies, ELK stack, Spring Boot, Kafka • Experience in developing large-scale cloud-native applications
• Strong understanding of LLM fundamentals
• Experience with or strong knowledge of MCP (Model Context Protocol) — designing tool schemas, building MCP servers, tool discovery, and integrating MCP into agentic workflows
• Understanding of AI gateway architecture — multi-provider LLM routing, semantic caching, load balancing, token tracking, cost allocation, fallback chains, and request/response logging
• Familiarity with agentic AI frameworks — LangChain/LangGraph, LlamaIndex, CrewAI, OpenAI Agents SDK, or similar orchestration tools
• Experience with LLM observability and evaluation — tracing (LangSmith, OpenTelemetry), LLM-as-judge evaluation, cost and latency monitoring
• Understanding of AI safety and guardrails — input/output validation, PII detection, content filtering, and hallucination mitigation
• Demonstrated ability to deliver in a fast-paced environment
• Good communication skills