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- Tasks: Build and deploy AI-driven systems for workflow automation and operational efficiency.
- Company: Join a growing utilities business investing in cutting-edge AI technology.
- Benefits: Up to £105k salary, fully remote work, and great benefits.
- Other info: Exciting opportunity for career growth in a tech-driven company.
- Why this job: Make a real impact with innovative AI solutions in a dynamic environment.
- Qualifications: Strong Python skills and experience with LangChain or LangGraph required.
The predicted salary is between 105000 - 105000 £ per year.
Oliver Bernard are partnered with a growing utilities and services business investing heavily in AI-driven automation and internal tooling. They're looking for an AI Engineer to help build and deploy production-grade agentic systems focused on workflow automation and operational efficiency across the business.
This role would suit someone with a strong Python engineering background and hands-on experience building AI systems using LangChain and/or LangGraph in production environments.
Required experience- Strong Python engineering background
- Experience building agentic systems with LangChain and/or LangGraph
- Commercial experience working with LLMs and AI workflows
- Strong understanding of APIs, backend systems and scalable architecture
- Experience building and deploying production-grade software
- Python
- LangChain
- LangGraph
- LLMs
- APIs
- Cloud Infrastructure
Salary: Up to £105,000 + Benefits
AI Engineer - Python/Go - Fully Remote (UK) in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Python/Go - Fully Remote (UK) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community on LinkedIn or relevant forums. You never know who might have a lead on that perfect AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LangChain, or LangGraph. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practice makes perfect, so get comfortable with discussing your experience with LLMs and APIs.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team and helps us get to know you better.
We think you need these skills to ace AI Engineer - Python/Go - Fully Remote (UK) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python engineering background and any experience with LangChain or LangGraph. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your experience with LLMs and AI workflows makes you a perfect fit for us. Keep it engaging and personal!
Showcase Your Projects: If you've built any agentic systems or worked on production-grade software, make sure to mention these in your application. We love seeing real-world examples of your work, so include links or descriptions of your projects!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Python, LangChain, and LangGraph. Brush up on your understanding of LLMs and APIs, as these will likely come up during the interview. Being able to discuss your hands-on experience with these technologies will show that you're not just familiar but also capable.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built agentic systems or deployed production-grade software. Highlight the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and practical experience, which are crucial for this role.
✨Understand the Business Context
Research the utilities and services business you’re applying to. Understand their focus on AI-driven automation and operational efficiency. This knowledge will help you tailor your answers and show that you’re genuinely interested in how your role can contribute to their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and future projects. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career aspirations. Asking about their tech stack and team dynamics can also give you valuable insights.