At a Glance
- Tasks: Lead and develop innovative generative AI applications that make a real-world impact.
- Company: Pioneering tech organisation at the forefront of generative AI.
- Benefits: Competitive salary, hybrid working, and a supportive team culture.
- Why this job: Shape the future of AI while collaborating with top engineers and data scientists.
- Qualifications: Strong engineering skills and a passion for emerging AI technologies.
- Other info: Diverse and inclusive environment with excellent career growth opportunities.
The predicted salary is between 80000 - 100000 £ per year.
Senior AI Engineer – Generative AI Applications £80,000 to £100,000 plus benefits | Hybrid (3 days office, 2 days home) Location: Oxfordshire
Are you an experienced engineer ready to lead cutting-edge generative AI projects? Curious about shaping AI systems that go beyond the hype and deliver genuine impact? Looking to join a fast-moving, highly technical team solving complex, meaningful challenges? If you’re motivated by hands-on technical work, strategic influence, and a culture of innovation, this role could be your perfect fit.
Why This Role is Great
Our client, a pioneering organisation with deep technical roots, has pivoted to become the ChatGPT of their niche. They are now seeking a Senior AI Engineer to help drive the next wave of generative AI application development. This is a 70 percent hands-on, 30 percent leadership role, offering the chance to lead by doing. You’ll work closely with fellow engineers, data scientists and product thinkers to build AI-driven systems that are not only smart but reliable, scalable and genuinely useful.
You’ll enjoy:
- Architecting and building powerful generative AI systems with real-world impact
- Collaborating across disciplines to design applications users will love
- Taking ownership of cloud infrastructure, data integration and production-level optimisation
- Exploring the boundaries of what LLMs can do and pushing them further
About You
You don’t need to be a specialist in any one domain. Your strength lies in being a strong engineer who can pick up new concepts quickly, understand trade-offs and build systems that work in production. You’ll bring a keen interest in emerging AI tools and how they can be deployed in thoughtful, creative ways.
You’ll be working with:
- Python as your core language, building backend services and AI pipelines
- Generative AI tools such as OpenAI APIs, LLM agents and prompt engineering frameworks
- Cloud platforms including AWS, GCP or Azure for scalable deployments
- CI/CD pipelines, containerisation (such as Docker) and real-time APIs
You may have experience with:
- Production-level LLM applications including fine-tuning and customisation
- Function-calling systems or retrieval-augmented generation (RAG) architectures
- Full-lifecycle projects from prototyping to production
- Mentoring junior engineers or shaping technical direction within teams
What You’ll Gain
- A high-impact role with visibility and technical influence
- The opportunity to shape the next generation of AI platforms
- Hybrid working with three days per week onsite in Oxfordshire and two days remote
- A supportive team that values experimentation, clean engineering and continuous learning
- A salary of £80,000 to £100,000, with flexibility for exceptional candidates
Diversity and Inclusion
We and our client believe diverse teams build better products. We welcome applicants from all backgrounds and are committed to a fair and inclusive hiring process. If you’re unsure whether you meet every single requirement, please apply anyway. If you’re excited about the role and what you could contribute, we want to hear from you.
Ready to Apply?
If you’re a thoughtful, experienced engineer ready to make your mark in generative AI, we’d love to hear from you. Apply now with your CV or get in touch for a confidential conversation.
AI Engineer - 70% IC, 30% Leadership - £90-110k flexible - (ID45598) in England employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - 70% IC, 30% Leadership - £90-110k flexible - (ID45598) in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative AI. This is your chance to demonstrate your hands-on experience and technical prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your past projects in detail. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are eager to make an impact in the AI space.
We think you need these skills to ace AI Engineer - 70% IC, 30% Leadership - £90-110k flexible - (ID45598) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Senior AI Engineer. Highlight your hands-on experience with generative AI tools and any leadership roles you've taken on, as this is a mix of both.
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your ability to build AI-driven systems. We want to see how you've tackled real-world challenges and what impact your work has had.
Be Authentic: Let your personality shine through in your application. We value creativity and innovation, so don’t be afraid to express your passion for AI and how you envision contributing to our team.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. This helps us keep track of applications and ensures your details reach the right people quickly.
How to prepare for a job interview at Humand Talent
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and generative AI tools. Brush up on your experience with cloud platforms like AWS, GCP, or Azure, as well as CI/CD pipelines and containerisation. Being able to discuss these topics confidently will show that you're ready for the hands-on aspect of the role.
✨Showcase Your Leadership Skills
Since this role involves a mix of technical work and leadership, be prepared to share examples of how you've led projects or mentored junior engineers. Highlight any experiences where you’ve influenced technical direction or collaborated across teams. This will demonstrate your ability to take ownership and guide others while still being hands-on.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice explaining your thought process when solving complex problems, particularly those related to AI systems and production-level applications. Use real-world examples from your past work to illustrate how you approach problem-solving and decision-making.
✨Emphasise Your Passion for Innovation
The company values a culture of innovation, so make sure to express your enthusiasm for emerging AI tools and technologies. Share any personal projects or research you've done in the field of generative AI. This will not only show your interest but also your proactive nature in staying ahead of industry trends.