Agentic AI

About Client :

Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.

Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.

Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.

Job Description : Location : India

Experience : 5+

WORK MODE : Hybrid

Job Description

Key Responsibilities :

• Design and develop knowledge bases tailored for Agentic AI solutions.
• Implement optimal ingestion mechanisms aligned with semantic search and Retrieval-Augmented Generation (RAG) goals using vector databases.
• Apply prompt engineering techniques and utilize prompt libraries to enhance agent performance.
• Orchestrate multi-agent systems using MCP protocol and related frameworks.
• Collaborate with cross-functional teams to integrate ML Ops best practices including feature stores, feedback loops, and continuous model improvement.
• Work closely with stakeholders to align AI capabilities with business use cases and outcomes.

Required Skills & Experience :