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- Tasks: Design and build AI frameworks that power smart energy solutions.
- Company: Join Ohme, a fast-growing cleantech company revolutionising energy and transport.
- Benefits: Competitive salary, private health insurance, and flexible work options.
- Why this job: Be part of a mission to accelerate the transition to clean, affordable energy.
- Qualifications: Experience in software engineering, Python, and cloud technologies like AWS.
- Other info: Dynamic team culture focused on sustainability and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Ohme is on a mission to accelerate the global transition to clean, affordable energy. We do that by serving as an integrated hardware and software smart-grid platform, focused on the residential EV charging market. The worlds of energy, transport and artificial intelligence are colliding and Ohme is at the heart of this new era. By using technology and data integrations to connect cars, chargers, people, energy providers and more, Ohme has a powerful platform that puts the consumer at the core.
Ohme has been selling its chargers to consumers since mid 2019 and has had exponential growth since. We are now operating in multiple countries and have partnerships with the likes of VW, Mercedes, Octopus Energy, and other innovative brands. We are scaling up the business and are building out the team for rapid growth. If you’re interested in joining a fast-growing cleantech venture on a data and AI-first journey to speed up the global transition to clean, affordable energy, read on!
We are looking for a curious and passionate AI Engineer to join our growing Data team. As an AI Engineer at Ohme, you will contribute to the design, build and operation of our agentic AI framework that integrates deeply with our platform and data ecosystem. You’ll work at the intersection of software engineering, cloud infrastructure, and applied AI, helping to productionise intelligent agents that interact with data, services, and users in a reliable and scalable way. This role is hands-on and engineering-led, with a strong focus on Python, AWS, Infrastructure as Code, and modern agentic AI patterns.
Key Responsibilities- Design, build and maintain agentic AI framework that interacts with Ohme's data platform, APIs, and internal tools.
- Implement and operate retrieval-augmented generation (RAG) pipelines using structured and unstructured data sources.
- Build and integrate agent memory, orchestration, and tool-use patterns for real-world workflows.
- Develop and deploy AI services using Python or other languages using software engineering best practices.
- Define and manage cloud infrastructure using AWS CDK (Python) and infrastructure-as-code best practices.
- Collaborate closely with data scientists, data engineers, applied AI analysts and product teams to deliver end-to-end solutions.
- Ensure AI services are secure, observable, cost-efficient, and scalable.
- Contribute to engineering standards, patterns, and best practices for AI agents at Ohme.
- Stay up to date with the fast-moving agentic AI ecosystem and help translate new capabilities into pragmatic solutions.
- Proven professional experience as a software engineer, cloud engineer, or AI engineer, with a strong production mindset.
- Strong Python skills, including building and operating backend services.
- Hands-on experience with AWS, ideally including services such as Lambda, Bedrock, API Gateway, AgentCore.
- Experience with Infrastructure as Code, preferably using AWS CDK (Python).
- Practical experience with agentic AI components, such as MCP servers, tool-using agents, agent memory and state management, multi-step or orchestrated agent workflows.
- Familiarity with vector databases, embeddings, and semantic search.
- Experience integrating LLMs into real applications (OpenAI, Anthropic, or similar).
- Comfortable working across the full lifecycle: design → build → deploy → operate.
- Strong problem-solving skills and a pragmatic, delivery-focused mindset.
- Curiosity and enthusiasm for applied AI and emerging industry standards.
- Experience working in data-rich or IoT-heavy environments.
- Knowledge of the EV, energy, or sustainability space.
You’ll get to work in a fast-paced and rapidly growing scale-up with global ambitions that is cutting edge, passionate about sustainability and seeks to make the world a better place.
Competitive salary and bonus, Private Health Insurance, Life Assurance Scheme with death in service benefit of 4x salary, Income Protection Scheme for long term illness, Ride to Work Scheme, Payroll Giving Scheme, Season Ticket Loan to spread cost of travel over 12 months.
Diversity, Equity and Inclusion are at the heart of what we do and we encourage a culture where everyone can be themselves at work. We actively seek out a diverse range of talent and our policies ensure that every job application and employee is treated fairly, with equal opportunity to succeed and to feel included.
AI Engineer in London employer: Ohme
Contact Detail:
Ohme Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Ohme or similar companies. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects. This is your chance to demonstrate your Python prowess and cloud engineering skills in action.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of agentic AI and AWS services. Be ready to discuss how you can contribute to Ohme's mission of clean energy with your expertise.
✨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 seeing candidates who are proactive!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and clean energy shine through. We want to see how your curiosity and passion align with our mission at Ohme!
Tailor Your Experience: Make sure to highlight your relevant experience in software engineering, cloud infrastructure, and applied AI. We love seeing how your skills can contribute to our agentic AI framework!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so make it easy for us to see why you’re a great fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Ohme.
How to prepare for a job interview at Ohme
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and AWS knowledge. Be ready to discuss how you've used these technologies in past projects, especially in relation to AI frameworks and cloud infrastructure.
✨Show Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in previous roles and how you tackled them. Ohme values a pragmatic, delivery-focused mindset, so highlight your ability to find effective solutions.
✨Understand the Industry Landscape
Familiarise yourself with the EV and clean energy sectors. Being able to discuss current trends and how they relate to Ohme's mission will show your genuine interest and enthusiasm for the role.
✨Collaborate and Communicate
Since you'll be working closely with data scientists and product teams, practice articulating your ideas clearly. Think about how you can demonstrate your collaborative spirit and ability to work across different teams during the interview.
