Agentic AI Developer
Core
Design, develop, and deploy intelligent AI agents and autonomous workflows leveraging LLMs, RAG, and enterprise integrations to drive business transformation.
Role type
Senior IC Agentic AI Developer
Builds
Scalable, secure, production-ready AI systems and multi-agent workflows for enterprise use cases
Domain
Enterprise AI, Generative AI, Large Language Models (LLMs), RAG
Deliverable
production ML models | product features
Required skills
Python, Generative AI, LLMs, AI Agent frameworks, RAG architectures, Vector databases, Semantic search, Machine learning concepts, REST APIs, CI/CD pipelines, Cloud platforms (Azure/AWS/GCP), Docker
Preferred skills
AI orchestration frameworks (LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI), Workflow orchestration (Temporal), Model Context Protocol (MCP), AI observability and guardrails, Enterprise platform integrations (SharePoint, Jira, ServiceNow, SAP, Teams), MLOps
Technologies
LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, Temporal, Azure, AWS, Google Cloud Platform, Docker, Git
Responsibilities
Design and implement AI agents for enterprise use cases; Build intelligent workflows with LLMs, tools, and memory management; Develop RAG solutions using enterprise knowledge repositories; Integrate AI solutions with enterprise applications and databases; Create reusable prompts, tools, and workflow components; Evaluate AI solutions for accuracy, reliability, and cost efficiency; Deploy and optimize AI applications in production environments; Ensure compliance with security, privacy, and Responsible AI standards; Contribute to AI solution architecture and technical design.
Seniority
Senior, hands-on IC