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- Tasks: Build and develop complex AI systems using cutting-edge frameworks.
- Company: Join a forward-thinking tech company at Harwell Campus.
- Benefits: Competitive pay, flexible contract, and potential for extension.
- Why this job: Be at the forefront of AI innovation and make a real difference.
- Qualifications: Experience in full-stack development and multi-agent systems required.
- Other info: Exciting opportunity for growth in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
All candidates should make sure to read the following job description and information carefully before applying.
Contract - Outside IR35
3 Days a Week Onsite in Harwell Campus
Initial 3 Month Contract with scope to extend
Role Overview
My client is seeking a full-stack AI/ML engineer with deep expertise in agentic AI frameworks such as LangGraph (or equivalent) and proven commercial experience building complex, multi-agent systems.
AI Engineer in Chilton employer: MarkIT Placements
Contact Detail:
MarkIT Placements Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Chilton
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the hunt for an AI Engineer role. 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 agentic AI frameworks like LangGraph. 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 related to full-stack development and AI/ML concepts. 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 seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AI Engineer in Chilton
Some tips for your application 🫡
Read the Job Description Thoroughly: Before you start your application, make sure to read the job description carefully. We want to see that you understand the role and how your skills align with what we're looking for.
Tailor Your CV and Cover Letter: Don’t just send a generic CV! We love it when candidates tailor their applications to highlight relevant experience and skills that match the AI Engineer role. Show us why you're the perfect fit!
Showcase Your Projects: If you've worked on any cool projects related to AI or multi-agent systems, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled complex challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at MarkIT Placements
✨Know Your AI Frameworks
Make sure you’re well-versed in agentic AI frameworks like LangGraph. Brush up on your knowledge and be ready to discuss your experience with building complex, multi-agent systems. This will show that you understand the technical requirements of the role.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented AI/ML solutions. Highlight your role, the challenges you faced, and how you overcame them. This gives the interviewer a clear picture of your hands-on experience and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current AI initiatives or future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
✨Demonstrate Team Collaboration
As a full-stack engineer, you’ll likely work with various teams. Be ready to discuss how you’ve collaborated with others in past roles. Share examples of how you communicated complex ideas to non-technical stakeholders, as this is crucial for success in a team environment.
