Exciting Opportunity for a Senior AI Data Engineer to help build and scale GenAI and agentic AI solutions with a Global Energy Company.
Responsibilities:
- Build and evaluate GenAI/Agentic AI prototypes (Copilot Studio, Azure AI Foundry, Databricks Mosaic AI, Genie, MLflow)
- Design and tune RAG systems
- Build AI agents using LangChain, LangGraph, AutoGen, and similar frameworks
- Deploy models via Azure OpenAI, Azure AI Foundry, and Docker
- Write clean, modular Python (OOP, Pydantic, PyTorch) following solid DevOps/CI-CD practices
- Manage large-scale text and structured datasets on Databricks
- Support testing and evaluation frameworks for GenAI systems (benchmarking, reproducibility)
Key Skills:
- 4-8 years' experience delivering data science/AI projects
- Good working knowledge of LLMs (GPT, Llama, Claude, Mistral) and their reasoning capabilities
- Experience with Databricks (DLT, Delta Lake, Unity Catalog governance)
- Understanding of streaming technologies (Spark Structured Streaming, Autoloader)
- Python, SQL, or Scala proficiency
- Experience with ETL/ELT, data modelling, and data architecture
- Exposure to ADF and Qlik Replicate
Contract Senior AI Engineer Opportunity with Global Energy Co employer: Eaglecliff Recruitment
Eaglecliff Recruitment is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Greater London. Employees benefit from extensive professional growth opportunities, competitive remuneration, and a supportive environment that values work-life balance, making it an ideal place for those seeking meaningful and rewarding careers in project management.
