At a Glance
- Tasks: Design and deliver advanced GenAI solutions using cutting-edge LLM technologies.
- Company: Join a leading organisation at the forefront of AI innovation.
- Benefits: Flexible working arrangements and competitive day rate with strong extension potential.
- Other info: Work on exciting projects with opportunities for career growth and development.
- Why this job: Make a real impact by delivering high-value AI capabilities in a dynamic environment.
- Qualifications: 4-8+ years in software engineering or machine learning with LLM expertise.
Duration: Initial 6 months (with strong extension potential)
About the Role
We're supporting a leading organisation looking to hire an experienced LLM / Generative AI Engineer to design and deliver advanced GenAI solutions. This is a hands-on contract role suited to someone with deep expertise in Large Language Models (LLMs), prompt engineering, and building production-grade GenAI applications. You'll play a key role in delivering innovative AI capabilities that drive real business value.
Key Responsibilities
- Design, build, and deploy LLM-powered applications and GenAI solutions
- Develop and optimise prompt engineering strategies for performance and accuracy
- Implement RAG (Retrieval-Augmented Generation) pipelines using structured and unstructured data
- Fine-tune and customise foundation models and LLMs where required
- Integrate GenAI solutions into enterprise systems, APIs, and applications
- Work with data teams to build and optimise vector databases and embedding pipelines
- Ensure solutions are scalable, secure, and production-ready
- Implement monitoring, evaluation, and guardrails for LLM outputs
- Collaborate with stakeholders to translate use cases into technical solutions
- Stay up to date with emerging trends in LLMs, GenAI, and AI tooling
Experience Required
- Strong commercial experience (typically 4-8+ years) in software engineering, data science, or machine learning
- Proven experience building and deploying LLM / Generative AI applications in production environments
- Hands-on experience with RAG architectures, embeddings, and vector search
- Experience working with LLM APIs and frameworks (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face)
- Strong understanding of prompt engineering techniques and optimisation strategies
- Experience working with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma)
- Practical experience with model evaluation, tuning, and performance optimisation
- Experience integrating AI solutions into APIs, microservices, and front-end applications
- Strong understanding of data handling, preprocessing, and pipeline development
- Knowledge of AI safety, hallucination mitigation, and guardrail implementation
- Experience working in agile, cross-functional delivery environments
- Previous contract or consulting experience in enterprise settings is highly desirable.
Key Skills
- Python (essential)
- LLM frameworks (LangChain, LlamaIndex, Semantic Kernel)
- API integration and microservices development
- Cloud platforms (Azure, AWS, or GCP)
- Vector databases and embeddings
- Git, CI/CD, and DevOps practices
Desirable Experience
- Experience with Azure AI / Microsoft Copilot stack
- Fine-tuning open-source models (e.g., LLaMA, Mistral)
- Experience with multi-modal models (text, image, audio)
- Front-end integration experience (e.g., React-based AI applications)
- Exposure to AI governance and responsible AI frameworks
- Industry experience in Finance / Retail / Healthcare - tailor as needed
What's on Offer
- Opportunity to work on cutting-edge GenAI and LLM projects
- High-impact role delivering real-world AI use cases
- Flexible working arrangements
- Competitive day rate with strong extension potential
If you're a skilled LLM / Generative AI Engineer looking for your next contract and want to work on innovative AI solutions, we'd love to hear from you.
LLM / GenAI Engineer in Manchester employer: Hays Technology
Join a leading organisation as an LLM / Generative AI Engineer and immerse yourself in a dynamic work culture that champions innovation and collaboration. With flexible working arrangements and the opportunity to engage in high-impact projects, you'll not only contribute to cutting-edge AI solutions but also enjoy significant growth potential in your career. This role offers a competitive day rate and the chance to work with advanced technologies in a supportive environment that values your expertise.
StudySmarter Expert Advice🤫
We think this is how you could land LLM / GenAI Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech 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 LLM and GenAI projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Tailor your approach! When reaching out to potential employers, make sure to highlight your experience with RAG architectures and prompt engineering. Use specific examples that align with their needs to grab their attention.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like 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 LLM / GenAI Engineer in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with LLMs and Generative AI. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Show Off Your Technical Skills:When detailing your experience, be specific about the tools and frameworks you've used, like Python, RAG architectures, or any LLM APIs. We love seeing concrete examples of your work, so include metrics or outcomes where possible!
Keep It Clear and Concise:While we appreciate detail, clarity is key! Make sure your application is easy to read and straight to the point. Use bullet points for your skills and experiences to make them pop!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Hays Technology
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of Large Language Models and Generative AI. Be ready to discuss specific frameworks you've worked with, like OpenAI or Hugging Face, and share examples of how you've implemented them in production environments.
✨Show Off Your Prompt Engineering Skills
Prepare to talk about your experience with prompt engineering techniques. Have a few examples ready where you've optimised prompts for performance and accuracy, and be ready to explain your thought process behind those strategies.
✨Demonstrate Your Integration Experience
Be ready to discuss how you've integrated GenAI solutions into enterprise systems and APIs. Highlight any experience you have with microservices development and how you've ensured that your solutions are scalable and secure.
✨Stay Current with Trends
Keep yourself updated on the latest trends in LLMs and Generative AI. Mention any recent developments or tools you've explored, and be prepared to discuss how they could impact the projects you'll be working on.
