Agentic AI Engineer

About the Role

As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high-quality work products within due timelines. On a need basis, you will be mentoring and/or directing junior team members and liaising with onsite/offshore teams to understand the functional requirements.

This role is based out of Hyderabad, Bengaluru, Mumbai, Gurgaon, Kolkata, Chennai, or Pune.

Key Responsibilities

Build & Deploy Agentic Solutions

• Design, develop, and deploy modules in agent-based platforms, adhering to Deloitte and industry best practices.
• Build proofs-of-concept and prototypes leveraging commercial or open-source agent orchestration frameworks.

Agent Platform Engineering

• Support the setup and operationalization of Multi-Agent Control Platform (MCP) servers, collaborating under the direction of senior team members.
• Contribute to the development and refinement of agent communication flows, including state and memory management.
• Integrate Retrieval-Augmented Generation (RAG) and Context Augmented Generation (CAG) capabilities in alignment with solution architectures.

Collaborate & Grow

• Collaborate within Agile teams, continuously pursuing domain learning and upskilling opportunities.

Reporting Relationships

• Reports to a Senior Consultant or Manager within IDT.
• Liaises with onsite/offshore teams to understand functional requirements and may mentor or direct junior team members on a need basis.

Requirements & Tech Stack

Required

• Up to 5 years' hands-on experience in software development, with demonstrable competence in full-stack engineering (front-end, back-end, RESTful APIs).
• Experience on agent-based architectures, distributed or agent frameworks, and memory/state management concepts.
• Understanding of MCP server architecture and A2A communication principles.
• Experience with orchestration frameworks (such as LangGraph, Google ADK, CrewAI) and GenAI paradigms (RAG/CAG).
• Experience with at least one major cloud provider (AWS, Azure, or GCP) and DevOps tools (e.g., Git, Jira, Artifactory).
• Excellent problem-solving, communication, and team collaboration skills.
• Commitment to continuous learning and pursuing emerging technologies.
• Bachelor's or Master's degree in Computer Science, Engineering, or a closely aligned technical discipline (B.E., B.Tech, M.C.A., M.Sc.).

Preferred

• Demonstrated experience building, scaling, or productizing GenAI, LLM, or agent-driven platforms in business or research settings.
• Strong familiarity with microservice architectures and robust event-driven systems.
• Awareness of cutting-edge developments in GenAI and multi-agent technologies.
• Experience with productivity accelerators (e.g., GitHub Copilot, Claude code, AWS CodeWhisperer, Cursor AI).

Core Competencies

• Full-stack engineering craft across front-end, back-end, and REST APIs.
• Growing expertise in agent architectures and orchestration frameworks.
• Collaborative team player within Agile pods.
• Commitment to continuous learning of emerging GenAI technologies.
• Clear communicator and problem solver.
• Cloud and DevOps tooling fluency.