Note: The job is a remote job and is open to candidates in USA. Infosys is seeking an AI Prompt Engineer / Agentic AI Engineer to design, develop, and deliver enterprise Agentic AI solutions. The role focuses on prompt optimization, agent workflows, MCP-integrated tools, retrieval-augmented generation, evaluation, deployment, monitoring, and adherence to security and responsible AI standards.
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 multi-step task execution capabilities
- Develop and integrate MCP (Model Context Protocol) tools, enabling AI agents to securely discover and interact with enterprise systems, APIs, and data sources
- Design agent architectures, tool-calling frameworks, retrieval mechanisms, and context management strategies
- Collaborate with product managers, architects, and engineering teams to translate business requirements into AI-driven solutions
- Implement Retrieval-Augmented 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 MCP-enabled workflows
- Contribute to architecture reviews, technical design documentation, and engineering best practices for AI platforms
Skills
- Note: Only USC and GC holders Eligible
- 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
- Hands-on 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 problem-solving, analytical, and collaboration skills
- 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
Benefits
- 100% remote
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