Artificial Intelligence Engineer
Posted Today by Cititec
£600 Per day
Outside
Hybrid
London Area, United Kingdom
Summary: The Senior AI Engineer role involves designing and developing production-grade AI systems utilizing large language models (LLMs) within a technology organization. The position requires collaboration with software engineers and product stakeholders to create scalable AI applications, focusing on multi-agent orchestration and reliable workflows. This is a contract position based in London, with a hybrid working arrangement. The role is classified as outside IR35 and offers a competitive daily rate.
Key Responsibilities:
- Design and implement LLM-powered AI systems, including RAG pipelines, vector/knowledge databases, and agentic frameworks.
- Build and maintain production-grade AI applications with clean code, APIs, data pipelines, and robust error handling.
- Develop and maintain evaluation frameworks to measure and monitor system performance, accuracy, and reliability.
- Implement feedback loops and observability to continuously improve system performance.
- Craft and optimise prompts across different model providers for latency, cost, and output quality.
- Collaborate with developers, stakeholders, and cross-functional teams to deliver scalable, reliable AI solutions.
- Provide day-to-day support and troubleshooting for deployed AI systems.
Key Skills:
- Hands-on experience with LLM APIs and deep understanding of capabilities, limitations, and failure modes.
- Practical experience implementing RAG architectures, vector/graph databases, knowledge graphs, and prompt engineering.
- Experience building multi-step LLM workflows and agentic systems using frameworks (e.g., LangChain, LangGraph, Claude Agents SDK) or custom solutions.
- Strong Python (or other modern programming language) skills with production API/service development experience.
- Knowledge of cloud platforms (AWS, GCP, Azure), distributed systems, and CI/CD pipelines.
- Strong data manipulation skills (SQL, pandas) and experience evaluating AI system outputs.
- Ability to work with ambiguity and optimise non-deterministic systems while balancing latency, cost, and quality trade-offs.
Salary (Rate): £600/day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Senior AI Engineer | £600/day Outside IR35 | 6-Month Contract
Industry: Technology / Capital Markets
Location: London - 3 days in office
Job Type: Contract
Our client, a forward-thinking technology organisation, is seeking a Senior AI Engineer to join a team building production-grade AI systems powered by large language models (LLMs). You will work closely with software engineers and product stakeholders to design, develop, and deploy scalable AI applications, focusing on multi-agent orchestration, intelligent tool integration, and reliable production workflows.
Responsibilities
- Design and implement LLM-powered AI systems, including RAG pipelines, vector/knowledge databases, and agentic frameworks.
- Build and maintain production-grade AI applications with clean code, APIs, data pipelines, and robust error handling.
- Develop and maintain evaluation frameworks to measure and monitor system performance, accuracy, and reliability.
- Implement feedback loops and observability to continuously improve system performance.
- Craft and optimise prompts across different model providers for latency, cost, and output quality.
- Collaborate with developers, stakeholders, and cross-functional teams to deliver scalable, reliable AI solutions.
- Provide day-to-day support and troubleshooting for deployed AI systems.
Required Skills
- Hands-on experience with LLM APIs and deep understanding of capabilities, limitations, and failure modes.
- Practical experience implementing RAG architectures, vector/graph databases, knowledge graphs, and prompt engineering.
- Experience building multi-step LLM workflows and agentic systems using frameworks (e.g., LangChain, LangGraph, Claude Agents SDK) or custom solutions.
- Strong Python (or other modern programming language) skills with production API/service development experience.
- Knowledge of cloud platforms (AWS, GCP, Azure), distributed systems, and CI/CD pipelines.
- Strong data manipulation skills (SQL, pandas) and experience evaluating AI system outputs.
- Ability to work with ambiguity and optimise non-deterministic systems while balancing latency, cost, and quality trade-offs.
Desirable Skills
- Experience with AI-assisted coding tools (Claude Code, OpenAI Codex, GitHub Copilot).
- Knowledge of fine-tuning LLMs for domain-specific applications.
- Familiarity with real-time streaming, multimodal models, or search technologies (e.g., Elasticsearch).
- Experience with model observability tools (LangSmith, Weights & Biases) and cost optimisation strategies.
- Exposure to specialised industries (finance, healthcare, energy, legal, retail) and responsible AI practices.
- Experience with tool-calling agents, handoffs, and guardrails.