Applied AI Engineer — Energy AI in Production

Fuse Energy; Zürich; Remote; CHF 120,000 - 170,000; Full time

Benefits offered by this job

Fully expensed tech

Private health insurance

Breakfast and dinner allowance

Biannual bonus scheme

Equity eligibility

Job summary

Fuse Energy is building a cutting-edge AI team. We are seeking an Applied AI Engineer to ship customer-facing AI features, including energy recommendations and onboarding from bills. You will own end-to-end AI systems, deploy LLMs/VLMs in production, and enable cross-team productivity with durable workflows.

You will collaborate with trading, ops, and backend teams to reflect real-time market conditions and weather forecasts, while ensuring reliability and scale.

Qualifications

• 3+ years of experience owning an applied AI system end to end.
• Strong Python and production-grade coding skills.
• Experience deploying LLMs or VLMs into production.
• Solid understanding of cloud technologies and containerization.
• Ability to analyze, learn quickly and adapt to problems.

Responsibilities

• Ship AI features for customers, such as personalised energy recommendations and onboarding from an energy bill.
• Build LLM applications and agents for support, engineering, warehouse and back-office teams, including multi-agent systems and durable workflows.
• Develop cloud infrastructure, integrations and access control so users and agents only reach what they should.
• Own evaluation: datasets, golden answers, human and LLM judges, A/B tests.
• Choose models by performance, latency and cost, and revisit as models improve.
• Work with trading, operations and backend teams so models reflect real-time market conditions, energy pricing and demand and weather forecasts.
• Monitor AI systems in production and keep them reliable.

Skills

3+ years experience

Python

LLMs deployment

Production code

Cloud technologies

Containerization

Data analysis

Fast learner

Tools

PyTorch

TensorFlow

Job description

Fuse Energy is building a cutting-edge AI team. We are seeking an Applied AI Engineer to ship customer-facing AI features, including energy recommendations and onboarding from bills. You will own end-to-end AI systems, deploy LLMs/VLMs in production, and enable cross-team productivity with durable workflows.

You will collaborate with trading, ops, and backend teams to reflect real-time market conditions and weather forecasts, while ensuring reliability and scale.