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For Companies At a Glance
- Tasks: Design and optimise AI workflows, ensuring safety and performance.
- Company: Innovative tech company focused on cutting-edge AI solutions.
- Benefits: Competitive daily rate, remote work, and flexible contract.
- Other info: Exciting opportunity for growth in a dynamic, remote environment.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Strong Python skills and experience with AI workflows required.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking a Gen-AI Prompt & Context Engineer to design and operate end-to-end LLM workflows, including prompt strategy, retrieval pipelines, multi-agent orchestration, and production observability. The role involves building scalable AI automation using Python, CrewAI multi-agent systems, and n8n workflows while ensuring safety, governance, and performance.
Key Responsibilities
- Design and optimize prompts, templates, and prompt libraries for consistent AI outputs
- Build context pipelines (RAG, embeddings, chunking, hybrid search) and maintain knowledge freshness
- Develop and orchestrate multi-agent workflows using CrewAI and integrate external tools/APIs
- Create automated LLM workflows in n8n with retries, approvals, and monitoring
- Build Python services, evaluation harnesses, and metrics pipelines for LLM performance
- Implement guardrails, RBAC, audit trails, and compliance-aligned AI governance
- Monitor production reliability with tracing, dashboards, alerts, and fallback strategies
Required Skills
- Strong Python engineering and API development experience
- Hands-on experience with prompt engineering, RAG pipelines, and LLM orchestration
- Experience with multi-agent frameworks (e.g., CrewAI) and workflow tools like n8n
- Familiarity with vector databases, embeddings, and hybrid retrieval approaches
- Knowledge of observability, evaluation methods, and AI safety controls
- Strong problem-solving skills and ability to work cross-functionally
Nice to Have
- Experience with OpenTelemetry, Grafana, or similar monitoring tools
- Exposure to enterprise AI governance, privacy, or regulated environments
- Experience optimizing LLM cost, latency, and accuracy in production systems
Gen-AI Prompt & Context Engineer(Contract) UK Remote | Outside IR35 | £400/day | in London employer: 9NEXUS
Contact Detail:
9NEXUS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen-AI Prompt & Context Engineer(Contract) UK Remote | Outside IR35 | £400/day | in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or at meetups. 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 related to prompt engineering and LLM workflows. 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 API development skills. Be ready to discuss your experience with multi-agent frameworks and how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Gen-AI Prompt & Context Engineer(Contract) UK Remote | Outside IR35 | £400/day | in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Python, prompt engineering, and multi-agent systems. We want to see how your skills align with the role, so don’t hold back!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving LLM workflows or automation, be sure to mention them. We love seeing practical examples of your work that demonstrate your problem-solving skills.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at 9NEXUS
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific tools mentioned in the job description, like CrewAI and n8n. Brush up on your prompt engineering skills and be ready to discuss how you've built scalable AI automation in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about situations where you had to optimise workflows or improve performance metrics, and be ready to explain your thought process.
✨Understand AI Governance and Safety
Familiarise yourself with AI safety controls and governance practices. Be prepared to discuss how you would implement guardrails and compliance measures in your workflows, as this is crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI governance, production observability, and how they measure success in their LLM workflows. This shows your genuine interest and helps you assess if the company is the right fit for you.