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- Tasks: Design and build cutting-edge GenAI solutions using Python in a dynamic team.
- Company: Join one of the UK's fastest-growing enterprise AI consultancies.
- Benefits: Competitive salary, generous leave, health support, and flexible working.
- Why this job: Make a real impact in AI while working with innovative technologies.
- Qualifications: Proven Python skills and experience in deploying LLM/GenAI solutions.
- Other info: Enjoy a supportive environment with excellent career growth opportunities.
The predicted salary is between 90000 - 110000 £ per year.
£90,000 - £110,000 + bonus & exceptional benefits
About the Company
Build production-grade LLM and GenAI solutions inside one of the UK's fastest-growing enterprise AI teams. This is a hands-on engineering role with a multi-award-winning UK consultancy whose AI practice has scaled rapidly through strategic acquisition and a strong delivery pipeline across commercial, central government and defence clients.
About the Role
You will be designing, building and shipping enterprise GenAI systems in Python.
Responsibilities
- Designing and building production LLM and GenAI solutions in Python — from prototype through architecture to deployment.
- Implementing advanced RAG pipelines — hybrid search, re-ranking, query rewriting, context compression, evaluation and grounding.
- Working with vector stores such as Azure AI Search, Pinecone, Qdrant, Weaviate and Chroma, and tuning embedding models for enterprise data.
- Building agentic systems using frameworks like LangGraph, Semantic Kernel, LangChain, LlamaIndex and AutoGen — tool use, function calling, multi-step reasoning and orchestration.
- Integrating foundation models via Azure OpenAI, AWS Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family).
- Applying prompt engineering, guardrails, evaluation and observability — using tooling such as LangSmith, Langfuse, Ragas, promptfoo and Azure AI Content Safety.
- Productionising solutions with FastAPI, async Python, Pydantic, Docker and Kubernetes, deployed into Azure-native infrastructure.
- Partnering with data engineers, solution architects and advisory consultants on end-to-end AI programmes.
- Engaging directly with senior client stakeholders to shape solution direction.
Required Skills
- Proven Python engineering background — clean, tested, production-ready code.
- Hands-on experience building and deploying LLM / GenAI solutions in production — not just POCs or notebooks.
- Strong working knowledge of RAG patterns, agentic frameworks, vector databases and embedding models.
- Familiarity with prompt engineering, LLM evaluation and guardrail design (hallucination mitigation, prompt injection defence, content safety).
- Experience with cloud-native deployment — Azure preferred, with Docker, Kubernetes and CI/CD.
- Solid grasp of LLMOps — versioning, tracing, monitoring, cost management and responsible AI.
- Consultative, client-ready communication — comfortable translating ambiguous business problems into AI solutions.
Preferred Skills
- Experience with cloud-native deployment — Azure preferred, with Docker, Kubernetes and CI/CD.
- Solid grasp of LLMOps — versioning, tracing, monitoring, cost management and responsible AI.
Pay range and compensation package
Competitive compensation package with strong base salary and bonus opportunities. Generous and growing annual leave, including loyalty days and birthday leave (up to 29 days total). Comprehensive health support, including private medical insurance and 24/7 wellbeing assistance. Family-first policies with enhanced maternity, adoption, and paternity leave. Flexible, trust-based working environment designed to support work–life balance. Ongoing investment in people through training, coaching, wellbeing support, and lifestyle perks.
Equal Opportunity Statement
Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
Artificial Intelligence Engineer in Paisley employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Paisley
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and connect with people 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 involving LLM and GenAI solutions. 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 Python and AI knowledge. Be ready to discuss your experience with RAG patterns and vector databases. Practice common interview questions and think about how you can translate complex problems into simple solutions.
✨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 an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Artificial Intelligence Engineer in Paisley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Artificial Intelligence Engineer. Highlight your Python engineering skills and any hands-on experience with LLM and GenAI solutions. We want to see how your background aligns with our needs!
Showcase Your Projects: Include specific projects where you've designed, built, or deployed AI solutions. We love seeing real-world applications of your skills, so don’t hold back on the details about your contributions and the technologies you used.
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 experience makes you a great fit for our team. We appreciate a personal touch that shows us who you are beyond your CV.
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 awesome team at StudySmarter!
How to prepare for a job interview at Bright Purple
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific technologies mentioned in the job description. Brush up on your experience with LLM and GenAI solutions, as well as RAG patterns and vector databases. Being able to discuss your hands-on experience confidently will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled ambiguous business problems in the past. Think of examples where you translated complex issues into AI solutions. This will demonstrate your consultative communication skills and ability to engage with senior stakeholders.
✨Familiarise Yourself with Deployment Practices
Since cloud-native deployment is key for this role, make sure you understand Docker, Kubernetes, and CI/CD processes. Be ready to talk about your experience with Azure and how you’ve productionised solutions in the past. This shows you can hit the ground running.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s AI projects or their approach to responsible AI. This not only shows your genuine interest but also gives you a chance to assess if the company aligns with your values and career goals.