Skills & Qualifications
• Bachelor/master’s in computer science or relevant fields
• 9+ years of relevant software engineering experience
• Strong sense of ownership and technical leadership
• Excellent Java and object-oriented development skills Deep experience in building and scaling microservices Strong problem-solving skills, technical troubleshooting, and diagnosing
• Expected to be a role model for engineers, enforce high code quality, and drive engineering excellence within the team
• 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 Deep experience in cloud technologies and large-scale distributed systems
• Deep expertise in LLM systems — model selection and evaluation, token economics at scale, context window optimization
• Strong knowledge of MCP (Model Context Protocol) and tool-use standards — designing MCP ecosystems, tool schema governance, auth and trust models for MCP servers, and integration with multi-agent frameworks
• Experience designing AI gateways / LLM infrastructure Experience with agentic AI architectures — multi-agent systems, planning/reasoning frameworks (ReAct, Plan-and-Execute), tool orchestration, guardrails and safety layers, human-in-the-loop escalation, and agent evaluation
• Proficiency in LLM observability and MLOps Experience with AI safety, governance, and responsible AI patterns Demonstrated ability to deliver in a fast-paced environment Excellent communication and leadership skills