Gen-AI Prompt & Context Engineer(Contract) UK Remote | Outside IR35 | £400/day |

9NEXUS; United Kingdom; On-site; GBP 60,000 - 80,000; Full time

Job summary

A forward-thinking AI company in the United Kingdom is seeking a Gen-AI Prompt & Context Engineer to design and operate LLM workflows. The role involves optimizing prompts, developing multi-agent systems, and ensuring compliance and performance through Python automation and various AI frameworks. Strong experience in relevant technologies like CrewAI and n8n is essential for creating automated workflows, improving reliability, and maintaining knowledge freshness in dynamic AI environments.

Qualifications

• Strong experience in Python engineering and API development.
• Hands-on experience with prompt engineering and LLM orchestration.
• Familiarity with vector databases and hybrid retrieval approaches.

Responsibilities

• Design and optimize prompts and templates for consistent AI outputs.
• Build context pipelines and maintain knowledge freshness.
• Develop multi-agent workflows with CrewAI and external tools.

Skills

Python engineering

API development

Prompt engineering

RAG pipelines

Multi-agent orchestration

Problem-solving

Tools

CrewAI

n8n

Grafana

Job description

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