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- Tasks: Design and develop innovative AI solutions in a collaborative environment.
- Company: Join Hypercube Consulting, a cutting-edge consultancy transforming the energy sector with AI.
- Benefits: Enjoy flexible working, performance bonuses, and a range of health benefits.
- Why this job: Make a real impact in AI while learning from industry experts in a dynamic start-up culture.
- Qualifications: Experience with Agentic AI, LLMs, and cloud platforms like AWS or Azure is essential.
- Other info: Diversity is key; we welcome applicants from all backgrounds.
The predicted salary is between 48000 - 64000 £ per year.
Compensation: £60,000 – £80,000 base salary + performance-related bonus + benefits
Role: Senior AI Engineer (Agentic AI & LLM Focus)
Location: UK-based, fast-growing technology consultancy specialising in the energy sector
Cloud Experience: Must have AWS or Azure (certifications desirable)
Management: No direct line management required
Consultancy/Energy Experience: Beneficial, but not essential
Visa Sponsorship: Not currently available; right to work and UK residency required
Flexibility: Part-time, condensed hours, job-shares, and flexible arrangements considered
Diversity & Inclusion: Extremely important—we encourage applicants from all backgrounds
Who We Are: 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.
Role Purpose: 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.
In this role, you will:
- 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.
Key Responsibilities:
- 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).
- Work within multidisciplinary teams to deliver client-focused solutions.
- Effectively communicate AI concepts and methodologies to peers and clients.
- Stay up-to-date with developments in Agentic AI, LLMs, and AI best practices.
- Support internal knowledge sharing and mentorship activities.
Technical Skills & Experience:
Core Skills:
- 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: Experience with Databricks/Spark.
- SQL: Solid querying and data preparation skills.
- Data Architectures: Understanding of modern data systems (lakehouses, data lakes).
Additional (Nice-to-Have) Skills:
- Infrastructure as Code: Terraform or equivalent.
- Containers & Kubernetes: Docker, Kubernetes.
- Streaming: Kafka, Kinesis.
- Cloud certifications (AWS or Azure).
Desirable Experience:
- Experience in consulting or the energy sector.
- Public engagement through blogging or speaking.
- Strong communication and stakeholder engagement.
- Integration with hybrid or external systems.
What’s in It for You?
- 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.
Benefits:
- Performance-Related Bonus
- Enhanced Pension
- Enhanced Maternity/Paternity
- Private Health Insurance
- Health Cash Plan
- Peer Cash Award Scheme
- Cycle-to-Work Scheme
- Flexible Remote/Hybrid Working
- Events & Community Participation
- EV Leasing Scheme
- Training & Events Budget
- Mentorship Programmes
Diversity & Inclusion: Hypercube is committed to a diverse, inclusive workplace. Applications from all backgrounds and experiences are warmly encouraged.
Ready to Apply? If this role excites you, please apply via our careers page or contact us directly—even if you meet only some criteria. We’re eager to explore how your talents can help drive AI innovation in the energy sector.
N.B. Visa sponsorship is currently not available.
Senior AI Engineer employer: Hypercube Consulting
Contact Detail:
Hypercube Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in Agentic AI and LLM technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the energy sector and AI community. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights into the company culture and expectations.
✨Tip Number 3
Brush up on your cloud experience, particularly with AWS or Azure. Consider obtaining certifications if you haven't already, as this demonstrates your commitment to the field and can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous projects involving AI solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your problem-solving skills and technical expertise.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Agentic AI and LLM technologies. Emphasise any cloud experience, particularly with AWS or Azure, and showcase your technical skills in Python and data processing.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Discuss your passion for AI in the energy sector and how your skills can contribute to Hypercube's mission. Be sure to mention any consulting experience or public engagement activities.
Showcase Continuous Learning: In your application, highlight any recent courses, certifications, or projects related to AI, especially those involving large language models or cloud platforms. This demonstrates your commitment to staying current in the field.
Prepare for Technical Questions: Anticipate technical questions related to AI workflows, model management, and cloud infrastructure during the interview process. Be ready to discuss specific projects where you've implemented these technologies.
How to prepare for a job interview at Hypercube Consulting
✨Showcase Your AI Expertise
Be prepared to discuss your experience with Agentic AI and LLM technologies in detail. Highlight specific projects where you've deployed these solutions, focusing on the impact they had on client outcomes.
✨Demonstrate Cloud Proficiency
Since cloud experience is crucial, ensure you can articulate your familiarity with AWS or Azure. If you have certifications, mention them, and be ready to discuss how you've used these platforms to deploy AI solutions.
✨Communicate Effectively
Practice explaining complex AI concepts in simple terms. The ability to communicate effectively with both technical and non-technical stakeholders is key, so prepare examples of how you've done this in past roles.
✨Emphasise Continuous Learning
Show your commitment to staying updated with the latest trends in AI. Discuss any recent courses, workshops, or conferences you've attended, and how you plan to continue your professional development in this rapidly evolving field.
