AI Engineer

Hypercube Consulting is an AI and data startup focused on technology for the energy sector. The AI Engineer designs, develops, deploys, and evaluates LLM- and agent-based solutions for client projects and internal products, collaborating with engineering, analytics, cloud, and client teams.

Responsibilities:

• Build LLM and agent-based applications (RAG, tool use, multi-step workflows) for client projects and internal products
• Take them from prototype to production on AWS or Azure (e.g. SageMaker, Azure ML, Databricks, OpenAI integrations), then monitor and improve them once they are live
• Explore and understand client data before building anything
• Design evaluation for LLM and agent systems: test sets, metrics, experiments and statistical comparison of approaches
• Decide when classical ML, forecasting or optimisation fits better than an LLM, and combine them where it helps (e.g. an agent that draws on a demand forecast)
• Work with engineers, data scientists and client teams to understand problems and shape solutions
• Explain AI concepts clearly to technical and non-technical audiences
• Support business development through demos, proof-of-concept work, and technical pre-sales activities
• Help develop our practices in LLMOps, evaluation and agent design
• If you would like to, write blogs, give talks or contribute to open source. We'll support you, but it's optional