AI Engineer
Core
Design, develop, and deliver robust, scalable, and secure AI-driven software systems and agentic workflows.
Role type
Senior AI Engineer (Agentic Systems & Full Stack)
Builds
Production-ready full-stack components, agent orchestration, tool-use integrations, and AI solutions.
Domain
Enterprise Software, AI/LLM, Cloud Infrastructure
Deliverable
production ML models
Required skills
Agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI), .NET ecosystem, ReactJS, Azure Cloud, Kubernetes, Docker, CI/CD, SQL/NoSQL, Redis, System Design, LLM integration (RAG, tool-calling)
Preferred skills
Supervisory experience, deep understanding of data structures and design patterns
Technologies
Azure, Kubernetes, Docker, Redis, LangChain, LangGraph, OpenAI Agents SDK, Microsoft Semantic Kernel, Microsoft AutoGen, CrewAI, ReactJS, .NET
Responsibilities
Translate business needs into agentic workflows and full-stack components; Implement agent orchestration and tool-use; Integrate enterprise applications via APIs and middleware; Develop and deploy software in Azure cloud environments; Define evaluation strategies for agent behavior and monitor metrics; Assist in translating high-level architecture into low-level designs; Mentor junior engineers and lead technical discussions.
Seniority
Senior, hands-on IC with potential supervisory responsibilities