Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy cutting-edge Generative AI solutions for enterprise clients.
- Company: Join a specialist 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 in various industries.
- Qualifications: 1+ year experience in deploying GenAI applications and strong Python skills 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.
Key Responsibilities- Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models)
- Build and deploy RAG systems using vector databases and semantic search
- Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar
- Create effective prompt engineering strategies with appropriate guardrails for production systems
- Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications
- Build and maintain CI/CD pipelines for testing, deployment and version control
- Work directly with client stakeholders to gather requirements, demonstrate solutions and iterate delivery
- Document architecture designs, decisions and best practices
- 1+ year hands-on experience deploying GenAI / LLM applications into production
- Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS
- Strong Python development skills with modern AI/ML libraries
- Practical experience using at least one LLM API
- Solid understanding of prompt engineering, RAG architectures and vector databases
- Experience with LangChain, LangGraph, LlamaIndex or similar frameworks
- Familiarity with Git and CI/CD workflows
- 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
- Experience fine-tuning or adapting LLMs for domain-specific use cases
- Familiarity with LLM evaluation frameworks (e.g. RAGAS, LangSmith)
- Knowledge of LLM security, hallucination mitigation and responsible AI practices
- Master’s degree in AI, Machine Learning, Data Science or a related field
AI Engineer in Slough employer: Lynx Recruitment
Contact Detail:
Lynx Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and LLMs. We recommend sharing this on platforms like GitHub or even your own website to catch the eye of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical scenarios. We suggest doing mock interviews with friends or using online resources to get comfortable discussing your experience and technical skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented AI Engineers like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer in Slough
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, LLMs, and AWS services. 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 relevant to the job description.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's deploying GenAI applications or using frameworks like LangChain, we love seeing real-world examples of your work.
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 LLMs. Brush up on your Python skills and be ready to discuss your hands-on experience with deploying GenAI applications.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed or implemented AI solutions. Think about challenges you faced and how you overcame them, particularly in relation to prompt engineering and RAG architectures.
✨Understand the Business Impact
Be ready to explain how your work as an AI Engineer 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 problems.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, 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.