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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: Strong Python skills and experience with AWS services required.
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 Ltd
Contact Detail:
Lynx Recruitment Ltd 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 your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with AWS services and AI frameworks. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit 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 our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's a proof of concept or a full deployment, we want to know what you've done and how it relates to the role. Include links if possible!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at StudySmarter!
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, like AWS services and Python libraries. Brush up on your knowledge of Generative AI, RAG architectures, and agentic frameworks. Being able to discuss these topics confidently will show that you're not just familiar with them, but that you can actually apply them.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to the role. Highlight your experience with building and deploying AI solutions, especially any hands-on work with CI/CD pipelines or monitoring frameworks. Real-world examples will help you stand out and demonstrate your practical skills.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about their current projects, challenges they face with AI solutions, or how they measure success in their deployments. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Emphasise Continuous Learning
Given the fast-paced nature of AI and tech, it’s crucial to convey your commitment to continuous learning. Mention any recent courses, certifications, or workshops you’ve attended related to AI, machine learning, or AWS. This will highlight your proactive approach and readiness to adapt to new technologies and methodologies.