At a Glance
- 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: Fully remote work, competitive salary of £105k, and opportunities for professional growth.
- Other info: Exciting opportunity to work with advanced AI technologies and enhance your career.
- Why this job: Make a real impact by developing innovative AI solutions in a dynamic environment.
- Qualifications: Strong Python skills and experience with LangChain or LangGraph in production.
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.
- Strong Python engineering background
- Experience building agentic systems with LangChain and/or LangGraph
- Commercial experience working with LLMs and AI workflows
- Experience building and deploying production-grade software
Technologies: Python, LangChain, LangGraph, LLMs, APIs, Cloud Infrastructure
AI Engineer - Python/Go - Fully Remote (UK) in City of London employer: Oliver Bernard
As a forward-thinking employer, our company offers a dynamic and inclusive work culture that prioritises innovation and collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development in the rapidly evolving field of AI, all while enjoying the flexibility of fully remote work across the UK. Join us to be part of a team that is at the forefront of AI-driven automation, where your contributions will directly impact operational efficiency and workflow enhancement.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Python/Go - Fully Remote (UK) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or join relevant online communities. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LangChain. We love seeing real-world applications of your work, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. We recommend practicing with friends or using online platforms to simulate the experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace AI Engineer - Python/Go - Fully Remote (UK) in City of 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 us during the process!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, LangChain, and LangGraph. Brush up on your knowledge of LLMs and AI workflows, as you’ll likely be asked to discuss your hands-on experience with these technologies during the interview.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built and deployed production-grade systems. Highlight your role in these projects, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving skills.
✨Understand the Business Context
Research the utilities and services business you’re applying to. Understand their focus on AI-driven automation and operational efficiency. Being able to connect your technical skills to their business goals will show that you’re not just a techie but also a strategic thinker.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations. Plus, it gives you a chance to engage in a meaningful conversation.
