Software Engineer, Agentic AI

About the Role

Noreva empowers energy and commodity producers, buyers, developers, traders, and investors. We’re hiring an entry-level Software Engineer to join the team building Noreva’s full-stack forecasting platform, including new agentic AI tooling. This is a full-time role based in our Midtown Manhattan office.

Key Responsibilities

• Help build and own components of the AI modeling agent that orchestrates the agentic workflow, including managing datasets, creating context, and building and updating models
• Design and run experiments and proofs of concept, and help carry the strongest ideas into production
• Test, evaluate, and improve agent performance, and build the tooling to measure it over time
• Contribute to the data pipelines and infrastructure that power the platform
• Write clean, documented, testable code and take part in code review, both giving and receiving feedback

What You’ll Learn

• How to design, evaluate, and scale agentic AI systems applied to real commodity price discovery
• Energy market fundamentals: power, capacity/resource adequacy, Renewable Energy Credits (RECs), and long-range forecasting
• How analyst expertise becomes automated research and modeling workflows
• How to work closely with engineering, quant research, and product teams on a small team where your work ships quickly

Qualifications

• BS or MS in Computer Science, Engineering, or a related field
• Software engineering experience, including internships or substantial project work
• Strong Python skills
• Experience with SQL and data tools, including PostgreSQL and TimescaleDB/TigerData for time series
• Familiarity with data pipelines and cloud infrastructure (AWS or GCP)
• Experience with, or strong interest in, LLM and agent frameworks (function calling, RAG, LangChain or similar)
• Experience with vector databases is nice to have
• Comfortable taking ownership of problems and shipping production code on a small team