Manager | Backend Developer | Mumbai | Engineering | Platform Development & Integration
Deloitte Advisory3 days ago
Mumbai, IndiaStaff+
Responsibilities
- Architect, design, and develop advanced agentic applications using AI, GenAI, and autonomous-agent paradigms.
- Own end-to-end technical delivery within an Agentic Pod, including scalability, resilience, security, and production readiness.
- Integrate LLMs, tools, APIs, data pipelines, enterprise applications, data platforms, and cloud services.
- Define reusable design patterns, components, accelerators, and reference architectures for agent-based systems.
- Implement responsible AI governance, explainability, guardrails, risk controls, compliance, and auditability.
- Design multi-agent orchestration, task planning, tool routing, exception handling, fallback, escalation, memory, and context-management strategies.
- Build RAG, embedding, vector-database, enterprise-knowledge-grounding, and search-optimization solutions.
- Deploy and operate agentic systems on GCP using scalable cloud architectures.
- Optimize agent performance, response quality, latency, cost efficiency, and throughput.
- Lead production troubleshooting, root-cause analysis, monitoring, system stabilization, and SLA execution.
- Provide technical mentorship and conduct design and code reviews for junior consultants.
- Contribute to Agentic Pod standards, innovation initiatives, accelerators, and thought leadership.
Requirements
- BE/B.Tech in Computer Science, Engineering, or a related discipline.
- 7–9 years of experience designing and delivering agentic applications using AI, GenAI, and autonomous-agent architectures.
- Expertise in enterprise-scale agentic system design, multi-agent coordination, autonomous workflows, and decision-making systems.
- Hands-on experience with LLMs, large-scale prompt engineering, reasoning techniques, context optimization, and response-quality tuning.
- Experience with LangChain, LangGraph, AutoGen, CrewAI, or custom enterprise agent frameworks.
- Experience with RAG, embedding pipelines, vector databases, enterprise knowledge grounding, and search optimization.
- Experience deploying and operating agentic systems on GCP.
- Practical experience with DevOps and MLOps for AI systems, including pipelines, versioning, testing frameworks, and controlled releases.
- Experience implementing AI-system observability, logging, tracing, latency analysis, quality evaluation, and cost tracking.
- Strong understanding of AI security, privacy, Responsible AI, access control, compliance, and auditability.
- Strong stakeholder communication, collaboration, ownership, adaptability, and mentoring skills.
- Preferred exposure to the General Insurance domain, including Health, Motor, or Travel workflows.
Tech Stack
Categories
About Deloitte Advisory
Deloitte Advisory provides consulting and managed services that help organizations manage risk, strengthen controls, investigate fraud, meet regulatory requirements, and execute transactions using analytics and industry expertise. Offerings span cybersecurity, M&A due diligence, finance and regulatory transformation, internal audit, and tech-enabled platforms. It is part of Deloitte’s global network (founded in 1845 and privately held), with U.S. member-firm teams serving corporations and government agencies across sectors.