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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: Fully remote role with a competitive salary of £105k and great work-life balance.
- Other info: Exciting opportunity for career growth in the fast-evolving AI sector.
- 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 Bury 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 Bury
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community on LinkedIn or Twitter. Join relevant groups and participate in discussions to get your name out there and show off your passion for AI engineering.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving Python, LangChain, or LangGraph. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI workflows. Practice common interview questions related to Python and AI systems to boost your confidence and impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer - Python/Go - Fully Remote (UK) in Bury
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong Python engineering background and any hands-on experience with LangChain or LangGraph. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience with AI workflows and production-grade software to show us you’re the perfect fit for our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
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 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, 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 company’s focus on AI-driven automation and internal tooling. Be ready to discuss how your skills can contribute to their goals of workflow automation and operational efficiency. This shows that you’re not just technically capable but also aligned with their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the projects they’re working on, and their future plans for AI integration. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.