Agentic AI Developer
Core
Design, develop, and implement AI agents and LLM-powered intelligent workflows for enterprise business use cases.
Role type
Senior IC Agentic AI Developer
Builds
AI agents, autonomous workflows, multi-agent systems, and RAG solutions integrated with enterprise applications.
Domain
Enterprise AI, Generative AI, Large Language Models (LLMs)
Deliverable
production ML models | product features
Required skills
Python, Generative AI, LLMs, AI agent design, RAG architectures, vector databases, REST APIs, Docker, Cloud platforms (Azure/AWS/GCP), Prompt engineering, AI observability
Preferred skills
MLOps, AI deployment, fine-tuning, AI governance, knowledge graphs, graph-based RAG, multimodal AI, Enterprise integrations (SharePoint, Jira, ServiceNow, SAP)
Technologies
LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, Temporal, Model Context Protocol, SharePoint, Jira, ServiceNow, Microsoft Teams, SAP
Responsibilities
Design and build AI agents and intelligent workflows; Develop RAG solutions using enterprise knowledge repositories; Integrate AI solutions with enterprise applications and databases; Evaluate AI solutions for accuracy, reliability, safety, and scalability; Deploy, monitor, and optimize AI applications in production; Contribute to AI solution architecture and best-practice frameworks.
Seniority
Senior, hands-on IC