At a Glance
- Tasks: Design and deploy AI-powered applications that tackle real-world problems.
- Company: Join a high-growth GenAI consultancy with a diverse project portfolio.
- Benefits: Competitive salary, hybrid work model, and opportunities for mentorship.
- Other info: Collaborative environment with rapid career growth across global markets.
- Why this job: Be at the forefront of AI innovation and make a tangible impact.
- Qualifications: Strong software engineering skills and experience deploying AI models.
The predicted salary is between 100000 - 130000 £ per year.
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
Join a dynamic and innovative GenAI consultancy that values your expertise in AI engineering and software development. With a collaborative work culture and a focus on employee growth, you'll have the opportunity to lead projects that make a real impact across diverse industries while working in a hybrid model from our vibrant London office. Enjoy competitive salaries, a supportive environment, and the chance to mentor fellow engineers as we scale rapidly in the exciting world of AI.
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 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 AI projects, especially those involving deployment and real-world applications. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. We recommend practicing common interview questions and even doing mock interviews with friends or mentors to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 🫡
Show Off Your Skills:Make sure to highlight your strong software engineering fundamentals and any experience you have with deploying AI models. 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 Python, LLM APIs, and cloud-native architectures like AWS. It’ll show us you’re genuinely interested in the position.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you a great fit for the team.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
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
Since this role involves working with cross-functional teams, be ready to talk about your experience collaborating with others. Highlight any mentoring roles you've had, especially guiding junior engineers, as this shows leadership potential which is key for the position.
✨Understand Their Clients
Familiarise yourself with the industries they work with, such as finance, energy, and health-tech. Knowing their client base and the types of projects they handle will help you tailor your responses and show that you're genuinely interested in contributing to their mission.
