At a Glance
- Tasks: Design, build, and deploy cutting-edge Generative AI systems for global clients.
- Company: Join a specialist tech consultancy leading in cloud-based AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact in technology.
- Qualifications: 1+ year experience with LLM/GenAI systems and strong Python skills required.
The predicted salary is between 36000 - 60000 £ per year.
Lynx Recruitment are recruiting for a specialist technology consultancy delivering cloud-based AI and analytics solutions to global clients. We are looking for an experienced AI Engineer to design, build, and deploy production-ready Generative AI systems.
Role
You will own the full lifecycle of GenAI applications, working with LLMs, RAG architectures, and agentic frameworks to deliver scalable, business-focused solutions.
Responsibilities
- Build and deploy GenAI and RAG systems
- Develop agentic AI workflows
- Design prompts and safety guardrails
- Implement monitoring and CI/CD pipelines
- Collaborate with clients and technical teams
Requirements
- 1+ year deploying LLM/GenAI systems in production
- Strong Python skills
- Experience with cloud platforms
- Knowledge of RAG, vector databases, and LLM frameworks
- Git and CI/CD experience
- Experience with LangChain and LangGraph
- AWS experience
- IT/Technology-related university degree (minimum 2.1)
AI Engineer employer: Lynx Recruitment Ltd
At Lynx Recruitment, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our team enjoys comprehensive benefits, including professional development opportunities and a supportive environment that encourages growth in the rapidly evolving field of AI. Located in a vibrant tech hub, we provide our employees with access to cutting-edge resources and a network of industry leaders, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Get your networking game on! Connect with professionals in the AI field on LinkedIn or attend tech meetups. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and GenAI systems. We want to see what you can do, so make sure your work is front and centre!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding cloud platforms. We recommend doing mock interviews with friends or using online resources to get comfortable with the format.
✨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 take the initiative to reach out directly.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with LLMs and GenAI systems in your application. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to the responsibilities listed in the job description. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Lynx Recruitment Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially LLMs, RAG architectures, and Python. Brush up on your experience with cloud platforms and be ready to discuss specific projects where you've deployed GenAI systems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles. Think of examples where you designed prompts or implemented safety guardrails. This will demonstrate your ability to think critically and creatively, which is crucial for an AI Engineer.
✨Familiarise Yourself with CI/CD Pipelines
Since the role involves implementing monitoring and CI/CD pipelines, be prepared to discuss your experience with these processes. Bring examples of how you've used Git in your workflow and any specific tools you’ve employed to streamline deployments.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers. Ask them about their current projects or challenges they face with AI solutions. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
