Manager | Backend Developer | Mumbai | Engineering | Platform Development & Integration

Manager | Backend Developer | Mumbai | Engineering | Platform Development & Integration • Job requisition ID : 114114 • Location : Mumbai • Entity : Deloitte Touche Tohmatsu India LLP The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Lead Agentic App Engineer - 7 to 9 Years Roles & Responsibilities Lead the architecture, design, and development of advanced agentic applications using AI, GenAI, and autonomous agent paradigms across enterprise use cases. Own end-to-end technical delivery within an Agentic Pod, ensuring solutions meet standards for scalability, resilience, security, and production readiness . Architect intelligent systems that seamlessly combine LLMs, tools, APIs, data pipelines, and enterprise workflows . Drive integration of agentic platforms with enterprise applications, APIs, data platforms, and cloud services . Define and institutionalize design patterns, reusable components, accelerators, and reference architectures for agent-based systems. Champion Responsible AI practices , embedding governance, explainability, guardrails, risk controls, and compliance into solution design. Partner closely with business, product, and architecture stakeholders to translate complex requirements into scalable agent-driven solutions. Continuously optimize agent performance, response accuracy, latency, cost efficiency, and system throughput . Lead production troubleshooting, root cause analysis, and system stabilization , ensuring SLAs and operational excellence. Provide technical mentorship and design/code reviews for junior consultants, raising overall engineering maturity. Contribute actively to Agentic Pod standards, innovation initiatives, accelerators, and thought leadership . Education BE / B.Tech in Computer Science, Engineering, or a related discipline. Required Experience & Skills 7–9 years of strong experience designing and delivery of agentic applications using AI, GenAI, and autonomous agent architectures . Proven expertise in enterprise-scale agentic system design , including multi-agent coordination, autonomous workflows, and decision-making systems. Strong hands-on experience with LLMs , prompt engineering at scale, reasoning techniques, context optimization, and response quality tuning. Solid experience working with agent frameworks and platforms such as LangChain, LangGraph, AutoGen, CrewAI, and/or custom enterprise agent frameworks. Deep understanding of agent orchestration and workflow design , including task planning, tool routing, exception handling, fallback, and escalation strategies. Experience designing memory and context management strategies , including short-term/long-term memory, vector stores, stateful execution, and context isolation. Strong background in Retrieval-Augmented Generation (RAG) , embedding pipelines, vector databases, enterprise knowledge grounding, and search optimization. Experience of algorithmic and model-level ownership Hands-on experience deploying and operating agentic systems on GCP , using cloud-native AI and scalable deployment architectures. Practical exposure to DevOps and MLOps for AI systems , including CI/CD pipelines, agent and prompt versioning, testing frameworks, and controlled releases. Experience implementing observability and monitoring for AI systems, including logging, tracing, latency analysis, quality evaluation, and cost tracking. Strong understanding of security, privacy, and governance for AI systems, including Responsible AI frameworks, access control, compliance, and auditability. Preferred exposure to General Insurance domain (Health, Motor, Travel), with the ability to map domain workflows to intelligent agent solutions. Soft Skills Demonstrates strong ownership, accountability, adaptability , and a solution-oriented mindset in complex problem spaces. Communicates effectively with technical and non-technical stakeholders , influencing decisions with clarity and confidence. Works collaboratively as a lead, driving alignment, mentoring peers, and fostering a high-performance culture. Exhibits professional integrity, reliability, and consistent delivery in client-facing and internal engagements.