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For Companies At a Glance
- Tasks: Design and deliver AI-driven workflow solutions for real-world applications.
- Company: Dynamic AI software company transforming consultancy into product-led innovation.
- Benefits: Competitive salary, hybrid working, and clear progression opportunities.
- Other info: Fast-paced startup environment with meaningful ownership and client engagement.
- Why this job: Make a real impact in regulated industries with cutting-edge AI technology.
- Qualifications: Strong Python skills and experience in applied AI or machine learning.
The predicted salary is between 65000 - 90000 £ per year.
This is a chance to join a growing AI product business where solutions are built for real-world use, not experimentation. You will sit at the intersection of engineering and client delivery, shaping how generative AI is deployed in complex, regulated environments. The role offers meaningful ownership, exposure to senior stakeholders, and the opportunity to see your work used as critical production infrastructure.
They are an AI software company that has evolved from bespoke consultancy into a product-led organisation. Their generative AI platform is used by professional services firms to automate structured, document-heavy workflows in highly regulated sectors.
The Role
- Work directly with end users to understand requirements and design AI-driven workflow solutions.
- Build, configure, and maintain production-grade generative AI features alongside software engineers.
- Deliver bespoke proofs of concept that often progress into live product functionality.
- Support commercial activity through tailored demos and client-facing solution walkthroughs.
- Balance hands-on technical delivery with client engagement in a fast-moving startup environment.
Your Skills and Experience
- Strong commercial experience using Python in applied AI or machine learning contexts.
- Proven delivery of end-to-end AI solutions such as RAG systems, LLM-powered applications, or agent-based workflows.
- Experience working closely with clients or end users, translating real requirements into technical solutions.
- Solid software engineering fundamentals, including maintainable code, testing, and collaboration with engineering teams.
- Practical knowledge of prompt engineering, RAG pipelines, agent workflows, and model evaluation.
- Familiarity with modern GenAI tooling such as LangChain, LangGraph, or similar frameworks.
- Motivation to work in a startup environment, with comfort around ambiguity, pace, and ownership.
What They Offer
- Salary between £65,000 and £90,000 depending on level, plus benefits.
- Hybrid working with a strong in-office culture based in central London.
- The opportunity to work on production AI systems used in regulated industries.
- Clear scope for progression as the engineering and solutions function continues to scale.
How to Apply
Apply now to explore how this Solutions AI Engineer role could be the next step in your career.
AI Solutions Engineer in London employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or any relevant work. This is your chance to demonstrate your expertise in Python and generative AI solutions, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI solutions and client engagement. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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!
We think you need these skills to ace AI Solutions Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your Python experience and any AI solutions you've delivered, as this will show us you're a great fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about the Solutions AI Engineer position. Share specific examples of how you've worked with clients or end users to deliver AI-driven solutions, as this is key for us.
Showcase Your Technical Skills: Don’t forget to mention your familiarity with modern GenAI tooling and your understanding of prompt engineering. We want to see how you can bring your technical expertise to our team!
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 Harnham - Data & Analytics Recruitment
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI and the specific technologies mentioned in the job description, like Python and RAG systems. Be ready to discuss how you've applied these in real-world scenarios, as this will show your practical experience.
✨Understand Client Needs
Since the role involves working closely with clients, think about past experiences where you translated user requirements into technical solutions. Prepare examples that highlight your ability to engage with end users and deliver tailored solutions.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in previous projects, especially in fast-paced environments. Highlight your hands-on experience with building and maintaining AI features, and be ready to share specific outcomes from your work.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI products and their approach to client delivery. This not only shows your interest but also helps you gauge if the company culture aligns with your values.