SC Cleared AI Engineer

Summary: An experienced AI Engineer is sought for a hands-on Outside IR35 contract role focused on building greenfield AI systems for enterprise clients. The position requires the ability to design and deploy practical applications using LLMs, RAG, vector databases, and agentic workflows. The successful candidate must write production-ready code and integrate solutions with existing platforms efficiently. This role emphasizes practical delivery rather than research or experimentation.

Key Responsibilities:

• Building agentic AI workflows and LLM-driven applications.
• Designing RAG systems, vector retrieval pipelines, and knowledge bases.
• Developing document intelligence and data extraction tools.
• Creating Back End services and integrating AI into existing business processes via APIs.
• Delivering both client-facing enterprise projects and internal product features.

Key Skills:

• Active SC Clearance.
• 8+ years of Python engineering.
• 5+ years of Node.js/TypeScript engineering.
• 4+ years of applied Artificial Intelligence and Machine Learning.
• Proven experience shipping reliable Back End systems and APIs.
• Deep understanding of LLMs, RAG, agentic frameworks, and vector databases.
• Strong grasp of retrieval techniques, chunking, embeddings, and system evaluation.
• Ability to translate vague client needs into technical solutions.
• Focus on practical delivery over experimentation.

Salary (Rate): £650 per day

City: undetermined

Country: England

Working Arrangements: undetermined

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

The Role An experienced AI Engineer is required for an Outside IR35 contract. This is a hands-on role building greenfield AI systems for enterprise clients. The successful candidate will design and deploy practical applications using LLMs, RAG, vector databases, and agentic workflows.

This is not a research position. The engineer must be able to write production-ready code, integrate with existing platforms, and turn business requirements into working software quickly.

Key Responsibilities

• Building agentic AI workflows and LLM-driven applications.
• Designing RAG systems, vector retrieval pipelines, and knowledge bases.
• Developing document intelligence and data extraction tools.
• Creating Back End services and integrating AI into existing business processes via APIs.
• Delivering both client-facing enterprise projects and internal product features.

Required Skills & Experience

• Active SC Clearance.
• 8+ years of Python engineering.
• 5+ years of Node.js/TypeScript engineering.
• 4+ years of applied Artificial Intelligence and Machine Learning.
• Proven experience shipping reliable Back End systems and APIs.
• Deep understanding of LLMs, RAG, agentic frameworks, and vector databases.
• Strong grasp of retrieval techniques, chunking, embeddings, and system evaluation.
• Ability to translate vague client needs into technical solutions.
• Focus on practical delivery over experimentation.