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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
Engineer gezocht employer: Lynx Recruitment Ltd
Contact Detail:
Lynx Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer gezocht
✨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 some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of getting noticed. Let’s get you that dream job!
We think you need these skills to ace Engineer gezocht
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 a bit of personality!
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's building RAG systems or developing agentic AI workflows, we want to know what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
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 implementations, or how they measure success in their AI solutions. 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 or machine learning. This demonstrates that you’re proactive and dedicated to staying updated in this ever-evolving field.