Join a leading Technology & Transformation practice focused on unlocking the potential of data through advanced analytics and next-generation technologies. This role involves strategic guidance and implementation services to manage data, convert it into actionable insights, and drive fact-based decision-making. We explore opportunities in business intelligence, data management, performance management, big data, cloud, cognitive computing, and machine learning.

Deliver end-to-end software solutions encompassing UI, APIs, and system integrations. Rapidly prototype and validate solutions with users, ensuring they are production-ready. Build and deploy Generative AI and agentic applications, including RAG, tool-using agents, and multi-agent orchestration. Design robust evaluation frameworks, guardrails, cost controls, and human-in-the-loop checks suitable for regulated environments. Implement enterprise integration and automation using workflows, orchestration, scripting, and CI/CD pipelines. Apply working knowledge of secure engineering practices, automated testing, observability (logs, metrics, traces), and operational handover processes. Partner effectively with product and business stakeholders to define and prioritize Minimum Viable Product (MVP) scope and trade-offs.

A Bachelor’s degree in Computer Science, Information Technology, or a related field is required, with 4-10 years of experience. Practical experience with vector databases and GenAI or agent frameworks like LangGraph or Semantic Kernel is essential. Proficiency in REST APIs, enterprise system integration, containerization, and Git-based CI/CD is necessary. Experience with modern front-end frameworks (React, Angular) and hands-on development using Python is crucial. Demonstrated experience in regulated environments, including risk, audit, security, and data handling, is a must. Familiarity with platform-based delivery, modern UI frameworks, API design, event-driven architecture, integration patterns, and automation/orchestration tooling is expected. Experience with multi-agent orchestration, Model Context Protocol (MCP), and LLM evaluation tooling is highly valued. This is a hybrid role based in Bengaluru, Delhi, Mumbai, Pune, or Ahmedabad.