Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and development of next-gen AI products in a cloud-native environment.
- Company: High-growth tech scale-up backed by a global leader, focused on innovation.
- Benefits: Competitive salary, 15% bonus, excellent benefits, and remote work flexibility.
- Why this job: Make a real impact by building intelligent AI systems that can reason and act autonomously.
- Qualifications: Strong experience in AI/ML software engineering with hands-on Python skills.
- Other info: Opportunity for career growth and influence in a dynamic, tech-driven environment.
The predicted salary is between 72000 - 84000 £ per year.
A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms.
This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement.
You’ll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices.
Location: Remote with twice a month travel to Leeds/Bradford
Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits
To be considered:
- Strong experience as an AI Engineer/ML Engineer/Software Engineer with applied AI exposure.
- Hands‑on Python development experience delivering production‑grade systems.
- Practical experience building agentic AI workflows (LangGraph/LangChain or similar frameworks).
- Exposure to Knowledge Graphs (Neo4j/RDF/graph-based enrichment or retrieval).
- Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration.
This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.
Applied AI Software Engineer employer: Lawrence Harvey
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Software Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI workflows or Python development. We recommend sharing this on platforms like GitHub, so potential employers can see your work in action.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We suggest doing mock interviews with friends or using online resources to practice common questions related to AI and software engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you into that next-gen AI role!
We think you need these skills to ace Applied AI Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on Python development and any experience with AI frameworks like LangChain or LangGraph. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about applied AI and how your background aligns with our goals. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Projects: If you've worked on any projects involving agentic AI workflows or Knowledge Graphs, make sure to include them in your application. We love seeing real-world applications of your skills, so share links or descriptions of your work!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Lawrence Harvey
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like LangChain, LangGraph, and Knowledge Graphs. Brush up on your Python skills and be ready to discuss your hands-on experience with AI workflows and LLM APIs. The more you know, the more confident you'll feel!
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and developed AI systems. Think about challenges you faced and how you overcame them. This will demonstrate your ability to take ownership of solutions and contribute to architectural decisions.
✨Understand the Company’s Vision
Research the company’s goals and recent achievements, especially their focus on AI as a core capability. Being able to align your answers with their vision will show that you’re genuinely interested and invested in their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, engineering standards, and future projects. This not only shows your enthusiasm but also helps you gauge if the company culture and role are the right fit for you.