Compensation £60,000 – £80,000 base salary + performance-related bonus + benefits
Performance-Related Bonus
Role: Senior AI Engineer (Agentic AI & LLM Focus)
Cloud Experience: Must have AWS or Azure (certifications desirable)
Flexibility: Part-time, condensed hours, job-shares, and flexible arrangements considered
Diversity & Inclusion: Hypercube Consulting is an innovative data and AI consultancy dedicated to revolutionising the energy sector. We specialise in advanced Agentic AI workflows and Large Language Models (LLMs), empowering our clients to realise significant value from their data. Join our dynamic team to shape the future of AI in energy.
We are looking for a Senior AI Engineer with experience in Agentic AI and LLM technologies to design and develop impactful AI solutions. You'll work alongside data engineers, data scientists, and cloud specialists, directly contributing to client success.
Engage with client challenges, developing practical and innovative Agentic AI and LLM solutions.
Implement and optimise AI workflows and model pipelines.
Promote good practice in AI lifecycle management and cloud-native infrastructure.
Collaborate closely with experienced team members, contributing to Hypercube’s growing AI expertise.
Develop and deploy reliable AI and LLM solutions, collaborating with senior team members.
Contribute to the implementation and maintenance of AI pipelines (data ingestion, model training, deployment, and monitoring).
Effectively communicate AI concepts and methodologies to peers and clients.
Continuous Learning & Development
Stay up-to-date with developments in Agentic AI, LLMs, and AI best practices.
Agentic AI & LLMs: Practical experience deploying and managing large language models and agent-based workflows.
Cloud AI (AWS/Azure): Experience deploying AI solutions on cloud platforms.
Python: Proficient in writing clean, production-quality code.
AI Model Management: Familiarity with platforms such as MLFlow, Hugging Face, or LangChain.
Data Processing: SQL: Solid querying and data preparation skills.
Data Architectures: Understanding of modern data systems (lakehouses, data lakes).
Cloud certifications (AWS or Azure).
Integration with hybrid or external systems.
Impactful Work: Contribute to innovative AI solutions within the energy sector.
Career Development: Learn from senior experts and benefit from tailored training.
Flexible Working: Accommodate your personal and professional lifestyle.
Start-Up Atmosphere: Help shape our culture and processes.
Personal Branding: Support in developing your public professional profile.
Performance-Related Bonus
Enhanced Pension
Private Health Insurance
Health Cash Plan
Cycle-to-Work Scheme
Flexible Remote/Hybrid Working
Events & Community Participation
Training & Events Budget
Diversity & Inclusion
We’re eager to explore how your talents can help drive AI innovation in the energy sector.