Applied AI Engineer

This is a fully remote position, open to applicants in United Kingdom, +3 more countries.

📋 Description

• Develop AI functionalities for clients, including personalized energy suggestions and onboarding from energy bills.

• Create LLM applications and agents for support, engineering, warehouse, and back-office teams, featuring multi-agent systems and durable workflows such as Temporal.

• Establish cloud infrastructure, integrations, and access control surrounding AI applications.

• Take ownership of evaluations through datasets, golden answers, human and LLM judges, and A/B testing.

• Select models based on performance, latency, and cost, revisiting decisions as model capabilities improve.

• Work collaboratively with trading, operations, and backend teams to ensure models align with real-time market conditions, energy pricing, demand, and weather forecasts.

• Oversee AI systems in production and ensure their consistent reliability.

⛳️ Requirements

• A minimum of 3 years of relevant experience, with specific requirements varying depending on role level.

• Proven experience managing an applied AI system from start to finish, preferably in a startup or small team, with the ability to articulate what went wrong and how you determined it was functioning correctly.

• Software engineering background transitioned into applied AI or ML engineering experience with production code development.

• Proficient in Python (or similar) with a track record of deploying LLMs or VLMs in production environments.

• Strong grasp of cloud technologies, containerization, and scalable AI applications.

• Analytical mindset, rigorous approach, and quick learning ability; adept at adopting new tools swiftly.

• Bonus skills: Familiarity with PyTorch or TensorFlow; experience in forecasting, weather and demand modeling; knowledge of energy markets and trading; fine-tuning or reinforcement learning; experience with vision, document, or NLP pipelines; knowledge of agent runtimes and MCP.

🏝️ Benefits

• Competitive salary with eligibility for equity.

• Biannual bonus program.

• Fully covered technology expenses tailored to your needs.

• Private health insurance coverage.

• Breakfast and dinner allowances for employees working in the office.

• Benefits may vary by location.