Agentic AI

Senior GenAI / Agentic AI Engineer
Experience: 4+ Years
Role Summary
We are looking for a highly skilled GenAI / Agentic AI Engineer with strong expertise in building AI agents, Generative AI solutions, Python development, and enterprise integrations. The ideal candidate should have hands-on experience with Agentic AI frameworks, MCP server integrations, API development, and Workday integrations (mandatory).
Mandatory Skills
Generative AI & Agentic AI
Experience building AI Agents and Multi-Agent systems using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Google ADK, or Semantic Kernel.
Strong understanding of LLMs (GPT, Gemini, Claude, Llama, etc.).
Hands-on experience with Prompt Engineering, RAG, Embeddings, Vector Databases, AI Guardrails, and Agent Orchestration.
Experience developing agents with reasoning, planning, memory, and tool-calling capabilities.
Python & API Development
Strong proficiency in Python.
Experience developing scalable APIs using FastAPI/Flask.
Knowledge of REST APIs, microservices, OOP concepts, testing frameworks, and Git.
MCP Server Integration
Hands-on experience integrating AI applications with MCP (Model Context Protocol) Servers.
Experience building and consuming MCP tools/connectors for AI agent ecosystems.
Ability to integrate AI agents with enterprise applications and external systems.
Machine Learning
Experience with ML model development, deployment, and lifecycle management.
Proficiency with Scikit-Learn, Pandas, NumPy, TensorFlow, or PyTorch.
Workday Integration (Mandatory)
Experience working with Workday APIs and integration frameworks.
Ability to integrate AI solutions with Workday business processes and data sources.
Responsibilities
Design and develop GenAI and Agentic AI solutions.
Build AI agents, RAG pipelines, and enterprise copilots.
Integrate AI solutions with MCP servers, Workday, and other enterprise applications.
Develop Python-based APIs and AI services.
Optimize model performance, accuracy, and scalability.
Collaborate with business and technology teams to deliver AI-powered automation solutions.
Preferred Skills
Azure OpenAI, AWS Bedrock, Google Vertex AI.
Vector databases (Pinecone, FAISS, Weaviate, Chroma).
Docker, Kubernetes, CI/CD, and MLOps.
Education
Bachelor's/Master's Degree in Computer Science, AI, Data Science, or related field.
Key Hiring Criteria
✅ Agentic AI Development
✅ GenAI & LLM Expertise
✅ Python & FastAPI Development
✅ MCP Server Integration
✅ Enterprise API Integration
✅ Workday Experience (Mandatory)
✅ RAG & Vector Database Experience

Work arrangement
No