AI Engineer – Sustainability Platform & Decision Intelligence

Annwn; Stati Uniti; Ibrido; USD 112.000 - 159.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work arrangement

Descrizione del lavoro

Annwn is seeking a seasoned software engineer to build agentic software for sustainability data, turning fragmented information into actionable decisions. The role blends full-stack development, AI system design, and direct customer engagement to shape a practical platform.

You will ingest unstructured data, design reasoning agents, run simulations, and support decision workflows, contributing to platform architecture and evolving knowledge graph with real-world feedback.

Competenze

• Strong software engineering fundamentals and at least seven years building full-stack applications.
• Experience with modern web development, ideally React, Next.js, and TypeScript.
• Backend development experience with Python.
• Comfort working with messy, real-world data.
• Ability to design, explain, and communicate complex systems clearly.
• Experience using coding agents to speed up software development.

Mansioni

• Build systems to ingest and organise unstructured sustainability data.
• Develop agents that reason across complex, uncertain information.
• Implement simulations and scenario analysis to help users explore potential actions and impacts.
• Support multi-step workflows for decision-making and recommendations.
• Improve system behaviour through feedback, memory, and an evolving knowledge and context graph.
• Contribute to platform architecture and work directly with customers as the product develops.

Conoscenze

Full-stack engineering

React

Next.js

TypeScript

Python

Data wrangling

Communication

Strumenti

React

Next.js

TypeScript

Python

Descrizione del lavoro

Annwn is seeking a seasoned software engineer to build agentic software for sustainability data, turning fragmented information into actionable decisions. The role blends full-stack development, AI system design, and direct customer engagement to shape a practical platform.

You will ingest unstructured data, design reasoning agents, run simulations, and support decision workflows, contributing to platform architecture and evolving knowledge graph with real-world feedback.