AI Automation Engineer
Core
Design, build, and industrialize AI-powered agentic solutions and applications leveraging LLMs to automate complex tasks across enterprise functions like Finance, Supply Chain, and HR.
Role type
Senior AI Automation Engineer (LLM & Agentic Workflows)
Builds
Production-grade AI agents, RAG applications, and event-driven pipelines integrated into enterprise platforms (SAP, ServiceNow, M365).
Domain
Enterprise IT / Generative AI / Business Process Automation
Deliverable
production ML models | product features
Required skills
Python, LLM & agent frameworks (LangGraph, Semantic Kernel, MCP), RAG architectures, vector databases, cloud AI platforms (Azure AI Foundry), deep learning (PyTorch, Hugging Face), software engineering (CI/CD, Docker, Kubernetes), SQL, data engineering concepts.
Preferred skills
Java or C#/.NET, multimodal AI technologies, Responsible AI governance, experience with AI evaluation tools (LangSmith, Ragas).
Technologies
LangGraph, Semantic Kernel, Microsoft Agent Framework, Azure AI Foundry, LangChain, LlamaIndex, PyTorch, Hugging Face, Azure OpenAI, Databricks, Spark, Kubernetes, Docker, gRPC.
Responsibilities
Design and build AI-powered agentic solutions; Develop applications leveraging LLMs and multimodal foundation models; Build, orchestrate, and govern AI agents; Develop APIs and integrations embedding AI into enterprise platforms; Optimize models through prompt engineering and fine-tuning; Establish AI evaluation and observability practices.
Seniority
Senior, hands-on IC
