Agentic AI Engineer
Core
Design, build, and deploy A2A communication architectures and multi-agent workflows for autonomous collaboration, delegation, and multi-step business processes.
Role type
Senior IC Agentic AI Engineer
Builds
Autonomous multi-agent systems, inter-agent messaging pipelines, and enterprise AI workflows
Domain
Enterprise AI, Multi-Agent Systems, Cloud Infrastructure
Deliverable
production ML models
Required skills
Multi-agent system design, LLM integration and fine-tuning, RAG and vector search, Cloud infrastructure automation (Terraform), Python/TypeScript backend development, DevOps and CI/CD, Security and network controls, Observability and evaluation
Preferred skills
Experience with LangGraph, LangChain, AutoGen, MCP standards, Enterprise agentic platforms (Workday, Salesforce, ServiceNow)
Technologies
AWS, Azure, GCP, Terraform, Docker, Kubernetes, LangGraph, LangChain, AutoGen, LangSmith, Vector databases, OAuth, SAML, IAM
Responsibilities
Design and implement multi-agent workflows and A2A communication architectures; Integrate LLMs with enterprise APIs and SaaS applications; Provision and manage cloud environments for high-concurrency inference; Build observability systems for agent monitoring and evaluation; Implement security controls and secure inter-agent communication; Manage CI/CD pipelines and agent lifecycle
Seniority
Senior, hands-on IC
