Senior Lead, AI Engineering, GDBS
Pubblicato il 11-09-2026 - Altro in Italia
With our solutions, we inspire and enable our customers to create value from sustainability-related activities.
Our Corporate Functions team is the "enablement engine" of South Pole. Behind the scenes, we provide the business with world-class solutions and best practices that sustain business growth and success. We cover key areas such as Finance, HR, Office Management, Legal, IT, Operations, etc. If you are a smart, ambitious and dynamic professional with a strong passion to make a real difference in the fight against climate change, the below position may be right for you
South Pole is looking for an AI Developer to help build the intelligent layer behind our products. You will design, build, and ship production-grade AI features: LLM-powered workflows, retrieval pipelines, and agentic tooling that turn large, messy environmental and carbon-market data into reliable answers.
This is a hands-on engineering role pitched at a medior-to-senior level. We are open to a strong medior developer ready to step up, as well as a senior who can take a vague requirement and turn it into a tested,
well-reasoned feature. What matters is that you understand the why behind your choices - not just how to call an API, but when not to, and how to keep an AI system trustworthy, evaluated, and cost-aware in production.
AI Feature Development: Design and ship LLM-powered features end to end - retrieval-augmented generation (RAG), structured extraction, summarisation, and agentic / tool-using workflows.
Build robust data and inference pipelines that connect our AI layer to product back-ends, vector stores, and source systems (AQ, Salesforce, Google Workspace).
Stand up evaluation, monitoring, and guardrails so AI features are measurably accurate, safe, and stable - not just impressive in a demo.
apply caching, batching, and model-routing to keep large workloads fast and economical.
Champion rigorous testing and pull-request discipline to prevent regressions and keep deployments stable.
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