Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy AI-powered applications that solve real client problems.
- Company: High-growth GenAI consultancy with diverse, challenging projects.
- Benefits: Competitive salary, hybrid work model, and professional development opportunities.
- Why this job: Join a dynamic team and make an impact in the AI space.
- Qualifications: Strong software engineering skills and experience deploying AI models.
- Other info: Mentorship opportunities and collaboration with global clients.
The predicted salary is between 80000 - 120000 £ per year.
Job Description
Are you an AI engineer with strong software engineering fundamentals?
Have you deployed AI models into production—not just trained them?
Want to work on agentic systems, RAG pipelines, and LLM-powered tools?
We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with global clients across finance, energy, media, and tech. From hedge funds to energy and health-tech, their projects are diverse and technically challenging. With strong client demand and deep partnerships (including OpenAI), the team is scaling fast across the UK, Singapore, and Australia.
As a Senior Applied AI Engineer, you’ll take ownership of designing and deploying AI-powered applications that solve real client problems. You’ll work across full-stack delivery, from architecture to production deployment, collaborating with cross-functional teams and mentoring other engineers.
Key Responsibilities
- Build and deploy scalable AI tools using Python and LLM APIs
- Design end-to-end agentic and RAG-based solutions for enterprise use
- Own delivery from proof-of-concept through to production
- Work with cloud-native architectures (e.g. AWS Lambda, Step Functions)
- Lead and guide junior engineers within project teams
Key Details
- Salary: £100,000–£130,000 + benefits
- Working model: Hybrid (3 days/week in London office)
- Tech stack: Python, LLMs (OpenAI/Claude), Docker, CI/CD, microservices, AWS
If you're a strong backend or platform engineer passionate about GenAI and excited to ship high-impact tools, this is the opportunity to step into it.
Budget
- Salary range: £100k–£130k base
- Benefits: Standard package
- Sponsorship: Yes
- Hybrid: 3 days/week (London HQ)
Note: this role cannot sponsor
Interested? Please apply below.
Applied AI Engineer - GenAI Consulting employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer - GenAI Consulting
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any you've deployed into production. This is your chance to demonstrate your expertise in building scalable AI tools.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, LLMs, and cloud-native architectures like AWS. Confidence is key!
✨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 Applied AI Engineer - GenAI Consulting
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI models and software engineering. We want to see how you've deployed AI in real-world scenarios, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about GenAI and how your skills align with our projects. Be specific about your experience with Python and LLMs.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! We love seeing examples of your work, especially if they involve agentic systems or RAG pipelines. It gives us a taste of what you can bring to the 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’re considered for this exciting opportunity!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in Python, LLMs, and cloud-native architectures like AWS. Brush up on your experience with Docker and CI/CD processes, as these will likely come up during the interview. Being able to discuss specific projects where you've deployed AI models will really impress them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using AI tools. Think about how you designed and deployed solutions from proof-of-concept to production. They’ll want to see your thought process and how you tackle challenges, so have a few examples ready.
✨Emphasise Collaboration and Mentorship
Since this role involves working with cross-functional teams and mentoring junior engineers, be ready to talk about your experiences in these areas. Share examples of how you’ve successfully collaborated with others and guided less experienced team members.
✨Understand Their Clients and Projects
Research the types of clients they work with, such as those in finance, energy, and health-tech. Understanding their diverse projects will help you tailor your responses and show that you’re genuinely interested in contributing to their mission.
