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For Companies 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 work model, and a culture of continuous learning.
- Why this job: Shape the future of AI while collaborating with a talented, diverse team.
- Qualifications: Strong engineering skills and a passion for emerging AI technologies.
- Other info: Opportunity for career growth and mentorship in a supportive environment.
The predicted salary is between 80000 - 100000 £ per year.
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 Oxford 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 Oxford
✨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 will give potential employers a taste of what you can do and set you apart from the crowd.
✨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. 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 hearing from passionate candidates who are excited about shaping the future of AI.
We think you need these skills to ace AI Engineer - 70% IC, 30% Leadership - £90-110k flexible - (ID45598) in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your hands-on technical work and any leadership experience, as this position is all about balancing both.
Showcase Your Projects: Include specific examples of generative AI projects you've worked on. We want to see how you've tackled complex challenges and what impact your contributions had on those projects.
Be Authentic: Let your personality shine through in your application. We value genuine passion for AI and innovation, so don’t hesitate to express why you’re excited about this role and what you can bring to our team.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It 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 Generative AI Stuff
Make sure you brush up on the latest trends and technologies in generative AI. Be ready to discuss your experience with tools like OpenAI APIs and LLMs, as well as any projects you've worked on that showcase your hands-on skills.
✨Show Off Your Leadership Skills
Since this role has a 30% leadership component, think about examples where you've led a project or mentored junior engineers. Be prepared to share how you can influence technical direction while still being hands-on.
✨Get Familiar with Cloud Platforms
As you'll be working with cloud infrastructure, make sure you understand AWS, GCP, or Azure. Be ready to discuss how you've used these platforms for scalable deployments and any CI/CD pipelines you've set up.
✨Prepare for Technical Questions
Expect some deep dives into your technical knowledge. Brush up on production-level LLM applications, fine-tuning, and RAG architectures. Practise explaining complex concepts clearly, as communication is key in a collaborative environment.
