CoolPlanet is a fast-growing global leader in industrial-scale energy efficiency and decarbonisation. We combine technology and engineering expertise to help complex organisations reach Net Zero faster and at scale.
Our core platform, CoolPlanet Operating System (CPOS), is an industrial optimisation SaaS platform connecting equipment, data, and AI to reduce energy waste and carbon emissions across global manufacturing environments.
We are now embedding AI deeply into our product and engineering workflows. This role is part of that evolution.
The Role
We are seeking an AI / Agentic Full-Stack Engineer with a strong frontend bias to help build AI-powered features within CoolPlanet OS. You will work across the stack but will be strongest on the frontend.
This is a hands‑on engineering role focused on:
Building modern React/TypeScript interfaces
Integrating LLM-powered capabilities into production systems
Using Claude Code and AI‑assisted development daily
Reviewing and hardening AI-generated code
Shipping reliable, enterprise‑grade software
What You Will Do
Frontend Engineering (Primary Focus)
Design and build responsive, scalable user interfaces using React and TypeScript
Develop reusable components and patterns aligned to platform standards
Review, refactor and productionise AI-generated frontend code
Ensure performance, maintainability, and security of UI features
Collaborate with Product and UX to deliver intuitive AI‑enabled workflows
Work with state management patterns (e.g., XState or similar)
AI & LLM Integration
Integrate LLM and other APIs (e.g., OpenAI; AWS Bedrock) into product features
Build AI‑assisted user experiences (analysis tools, copilots, summarisation, workflow automation)
Implement structured prompting and response validation
Handle LLM failure modes (hallucinations, incomplete outputs, schema mismatches)
Contribute to lightweight agentic workflows (multi‑step processes, tool‑calling patterns)
Optimise prompts and system design for reliability and consistency
You should be comfortable using Claude Code or similar AI development tooling as part of your daily workflow.
Full-Stack Development
Build and integrate REST APIs (TypeScript or other backend languages e.g. Java)
Work within microservices‑based architectures
Contribute to CI/CD pipelines and automated testing
Automate the creation of unit, integration, and end‑to‑end tests
Troubleshoot, debug and optimise across the stack
What Success Looks Like
Within your first year, you will:
Ship AI‑powered frontend features into production
Confidently use Claude Code to accelerate development without sacrificing quality
Improve AI‑generated code rather than blindly accepting it
Contribute meaningfully to AI feature design discussions
Required Experience
3+ years of professional software engineering experience
Degree in Computer Science or a closely related discipline
Experience building RESTful APIs
Familiarity with relational and/or NoSQL databases
Experience working in cloud environments (AWS preferred)
Experience participating in structured code reviews
Required AI/LLM Experience
Experience integrating LLM APIs into applications
Practical understanding of prompt design and iteration
Experience validating AI outputs before exposing them to users
Understanding of token limits, response structure, and guardrails
Comfort using AI tools to generate and accelerate code while maintaining engineering ownership
Nice to Have
Experience with Java & Spring Boot
Experience with agentic or multi‑step AI workflows
Knowledge of time‑series data and visualisation libraries
Experience with monorepos (NX)
Exposure to observability tools
Experience with IoT technologies, either professionally or as a hobby.
Experience with Retrieval‑Augmented Generation (RAG)
Who This Role Is For
This role suits someone who:
Is a strong frontend engineer first
Is AI‑enabled, not AI‑dependent
Wants to work on meaningful climate technology
Thrives in a fast‑moving, high‑performance environment
Is comfortable shipping production software that customers rely on
Location
Our office is based in Powerscourt House, Co. Wicklow. We operate a hybrid model (1–3 days in the office, depending on proximity).
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