AI Engineer
Core
Design, develop, and deploy production AI agents and GenAI/Data Analytics tools for real enterprise environments.
Role type
AI Engineer (GenAI & Agent Development)
Builds
Production AI agents, GenAI tools, and data analytics solutions
Domain
Enterprise IT Services, Generative AI, Data Analytics
Deliverable
production ML models
Required skills
Python, LLMs, Prompt Engineering, Embeddings, Agent/LLM Frameworks (LangChain, LangGraph, LlamaIndex, AutoGen, Anthropic SDK), Cloud Platforms (Azure/AWS), Git-based workflow, AI-assisted development tools
Preferred skills
Vector databases, RAG pipelines, SQL, Data pipelines, Azure DevOps/ML Ops, Infrastructure as Code (Terraform), Containerization (Docker, Kubernetes), GDPR/Enterprise compliance
Technologies
Python, Azure, AWS, LangChain, LangGraph, LlamaIndex, AutoGen, Anthropic SDK, Docker, Kubernetes, Terraform, GitHub Copilot, Claude Code, Cursor
Responsibilities
Design and build production AI agents from system prompt through tool integration to evaluation; Develop and deploy GenAI and Data Analytics tools; Integrate AI tools into enterprise environments; Write tested code and perform code reviews.
Seniority
Mid-level, hands-on IC
