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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, 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
Engineer gezocht in City of London employer: Lynx Recruitment
Contact Detail:
Lynx Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer gezocht in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and agentic systems. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with AWS services and Python development. Practise common interview questions related to AI engineering to boost your confidence.
✨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, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Engineer gezocht in City of London
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.
Showcase Your Projects: If you've got any personal or professional projects related to AI, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve modern LLMs or RAG architectures!
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 from us!
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 and Python libraries. Brush up on your knowledge of Generative AI, RAG architectures, and agentic frameworks like LangChain. Being able to discuss these topics confidently will show that you're not just familiar but truly engaged with the field.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to the role. Highlight your experience with building production-ready AI solutions and any CI/CD pipelines you've implemented. Real-world examples will help demonstrate your skills and give the interviewers a clear picture of what you can bring to their team.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and its projects. Ask about their current challenges with AI deployment or how they measure success for their Generative 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
The AI field is always evolving, so highlight your commitment to continuous improvement. Discuss any recent courses, certifications, or workshops you've attended related to AI and machine learning. This demonstrates that you’re proactive about staying updated with industry trends and best practices, which is crucial for a role focused on cutting-edge technology.