The resource will support the design development and delivery of Agentic AIsolutions by creating optimizing and managing AI prompts agent workflows and MCPintegrated tools The role will focus on enabling intelligent AI agents capable of autonomous reasoning task orchestration tool utilization and workflow execution across enterprise applications
Key Responsibilities
Design develop and optimize prompts for Large Language Models LLMs to improve accuracy reliability and business outcomes
Build and configure Agentic AI solutions that leverage planning reasoning memory and multistep task execution capabilities
Develop and integrate MCP Model Context Protocol tools enabling AIagents to securely discover and interact with enterprise systems APIs and data sources
Collaborate with product managers architects and engineering teams to translate business requirements into AIdriven solutions
Implement RetrievalAugmented Generation RAG knowledge grounding and context orchestration patterns
Define evaluation frameworks and prompt testing methodologies to measure agent performance quality and reliability
Ensure AI solutions adhere to security compliance governance and responsible AI standards
Support deployment monitoring troubleshooting and continuous improvement of AI agents and MCPenabled workflows
Contribute to architecture reviews technical design documentation and engineering best practices for AI platforms
Required Skills
Experience with Large Language Models OpenAI Azure OpenAI Anthropic Gemini or equivalent
Strong understanding of prompt engineering AI agent frameworks and conversational AI systems
Experience building Agentic AI applications using Semantic Kernel LangChain LangGraph AutoGen CrewAI or similar frameworks
Handson experience with MCP servers tool integration API orchestration and enterprise system connectivity
Proficiency in Python TypeScript or similar programming languages
Familiarity with RAG architectures vector databases embeddings and knowledge retrieval systems
Understanding of cloud platforms such as Azure AI Foundry Azure OpenAI AWS Bedrock or Google Vertex AI
Strong problemsolving analytical and collaboration skills
Preferred Qualifications
Experience building enterprise copilots AI assistants or autonomous agent ecosystems
Knowledge of AI governance responsible AI and security best practices
Experience integrating AI agents with healthcare health records or regulated industry systems
Skills:
Mandatory Skills : Agentic Framework, GCP Gemini, GCP Vertex AI, Python AI, Vector Databases and Embedding
Good to Have Skills :
Fine Tuning Large Language Models, Python API (for Langchain / Llamaindex), TypeScript
About Company:
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, current productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert