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- Tasks: Design and develop impactful AI solutions for the energy sector using cutting-edge technology.
- Company: Hypercube Consulting, a rapidly growing data and AI consultancy.
- Benefits: Flexible working, career development, enhanced pension, and private health insurance.
- Why this job: Make a real impact in the energy sector with innovative AI solutions.
- Qualifications: Experience in Agentic AI, LLMs, and cloud platforms like AWS or Azure.
- Other info: Join a diverse team and shape the future of AI-driven energy solutions.
The predicted salary is between 36000 - 60000 £ per year.
Hypercube Consulting is a rapidly growing data and AI consultancy dedicated to transforming the energy sector through cutting-edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI-driven energy solutions.
We are looking for a Senior AI Engineer with experience in Agentic AI and LLM technologies to design and develop impactful AI solutions. You will 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.
Continuous learning & development
- Stay up-to-date with developments in Agentic AI, LLMs, and AI best practices.
- Support internal knowledge sharing and mentorship activities.
Technical skills & experience
We understand this is an extensive list – you don’t need to fit everything 100%. We value potential alongside proven experience – apply even if you meet only some criteria.
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.
- Streaming: Kafka, Kinesis.
- Cloud certifications (AWS or Azure).
- 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.
- Enhanced pension.
- Performance related bonus.
- Enhanced maternity/paternity.
- Cycle to work scheme.
- Events and community participation.
- Private health insurance.
- Health cash plan.
- EV leasing scheme.
- Training and events budget.
Diversity & Inclusion
Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences.
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. We are currently not able to sponsor visas.
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Senior AI Engineer in London employer: Hypercube
Contact Detail:
Hypercube Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Hypercube. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a project or two up your sleeve, share them on platforms like GitHub. It’s a great way to demonstrate your experience with Agentic AI and LLMs.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. You’ll need to explain complex AI concepts clearly, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential in the energy sector shine through. We want to see how you can contribute to our mission of transforming the industry with cutting-edge technology.
Tailor Your Experience: Make sure to highlight your experience with Agentic AI and LLMs specifically. We’re looking for candidates who can demonstrate their skills in these areas, so don’t be shy about showcasing relevant projects or achievements.
Be Clear and Concise: While we love a good story, keep your application clear and to the point. Use straightforward language to explain your technical skills and experiences, making it easy for us to see how you fit into our team.
Apply Through Our Website: We encourage you to apply directly through our careers page. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Hypercube
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Agentic AI and large language models. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Collaboration Skills
Since you'll be working with data engineers and cloud specialists, highlight your teamwork experiences. Prepare examples of how you've successfully collaborated in multidisciplinary teams to deliver client-focused solutions. This will demonstrate your ability to fit into their culture.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You might need to communicate with clients who aren't as tech-savvy, so being able to break down your ideas will be crucial. Think about how you can make your explanations engaging and relatable.
✨Stay Current
Keep yourself updated on the latest trends in AI and the energy sector. Mention any recent developments or innovations you've come across and how they could apply to Hypercube's work. This shows your passion for continuous learning and your commitment to staying ahead in the field.
