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- Tasks: Design and deploy cutting-edge Generative AI solutions for enterprise clients.
- Company: Join a leading data and AI consultancy with a focus on innovation.
- Benefits: Competitive salary, flexible working 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 technology and make a real impact across industries.
- Qualifications: Experience in AI engineering, strong Python skills, and knowledge of AWS services.
The predicted salary is between 60000 - 80000 £ per year.
Lynx Recruitment is partnering with a specialist data and AI consultancy to recruit an experienced AI Engineer to work on cutting-edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus is on designing, deploying and operating production-grade GenAI and agentic systems on AWS, supporting organisations across multiple industries.
As an AI Engineer, you will design, develop and deploy production-ready Generative AI solutions for enterprise clients. You will be involved across the full lifecycle of GenAI products—from proof of concept through to scalable production deployment and monitoring.
Working with modern LLMs, RAG architectures and agentic frameworks, you’ll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost-effective AI solutions on AWS.
- Build and deploy RAG systems using vector databases and semantic search
- Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar
- Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications
- Build and maintain CI/CD pipelines for testing, deployment and version control
Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS
Strong Python development skills with modern AI/ML libraries
Solid understanding of prompt engineering, RAG architectures and vector databases
Bachelor’s degree in Computer Science, Engineering or a related discipline (2.1 or above)
Hands-on experience building agentic AI systems with planning, tool use and multi-step reasoning
Knowledge of LLM security, hallucination mitigation and responsible AI practices
Master’s degree in AI, Machine Learning, Data Science or a related field
Technisch engineer. employer: Lynx Recruitment
Contact Detail:
Lynx Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technisch engineer.
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with professionals 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 related to Generative AI and agentic systems. 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 common technical questions and scenarios related to AI engineering. Practice explaining your thought process and solutions clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Technisch engineer.
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Generative AI, AWS services, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the role. Don’t forget to mention specific technologies or frameworks you’ve worked with that align with our needs.
Showcase Your Projects: If you've got hands-on experience with AI systems, make sure to showcase those projects in your application. Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Lynx Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services like Lambda and SageMaker. Brush up on your Python skills and be ready to discuss how you've used modern AI/ML libraries in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and deployed Generative AI solutions. Think about challenges you faced and how you overcame them, particularly in relation to RAG architectures and agentic AI workflows.
✨Understand the Business Impact
Be ready to explain how your work with AI can drive tangible business outcomes. Research the company’s clients and industries they serve, and think about how your skills can help solve their unique challenges.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, the team dynamics, or how they measure success for their AI solutions. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.