Artificial Intelligence Engineer at Omnis Partners, London Area, £Contract Rate

AI Engineer

Location: London (2 days per week onsite)

Contract: Initial 6 Month Contract - Outside IR35

Overview

We're supporting a specialist AI consultancy delivering a large-scale AI transformation programme for a leading insurance organisation. They're looking for an experienced AI Engineer to design, build and deploy production-ready AI solutions using Large Language Models (LLMs).

Working alongside the consultancy and end client, you'll develop AI agents and intelligent applications to automate employee onboarding, enhance claims and underwriting processes, improve customer support, and streamline internal operations.

This is a hands-on role focused on building scalable, production-grade AI solutions that deliver real business impact.

Responsibilities

• Design, build and deploy enterprise-grade AI applications using modern LLMs.
• Develop AI agents to automate employee onboarding, reducing manual effort and significantly improving the speed and consistency of the onboarding process.
• Build internal AI assistants that enable employees to quickly access policies, procedures and business knowledge.
• Deliver AI-powered solutions to support claims handling, including document summarisation, information extraction and intelligent case routing.
• Develop underwriting support tools to help analyse documentation, surface relevant information and assist decision making.
• Build customer service assistants capable of answering policy questions and supporting contact centre teams.
• Develop Retrieval Augmented Generation (RAG) solutions using enterprise knowledge bases and vector databases.
• Build secure APIs and backend services that integrate AI capabilities into existing platforms.
• Implement monitoring, observability and evaluation frameworks to ensure AI systems remain accurate, reliable and cost effective.
• Optimise prompts, model selection and orchestration to balance quality, latency and cost.
• Work closely with stakeholders to identify further opportunities where AI can streamline business processes and improve customer outcomes.
• Ensure all AI solutions are delivered in line with security, governance and responsible AI best practices.

Required Experience

• Commercial experience building production AI applications using LLMs such as Claude, OpenAI or Gemini.
• Strong experience implementing Retrieval Augmented Generation (RAG) solutions.
• Hands-on experience with vector databases and semantic search technologies.
• Experience building AI agents and multi-step workflows using frameworks such as LangGraph, Claude Agents SDK, OpenAI SDK or similar.
• Strong Python development skills with experience building production APIs and backend services.
• Experience working with AWS, Azure or GCP.
• Good understanding of cloud-native architectures, CI/CD pipelines and modern software engineering practices.
• Experience monitoring, evaluating and continuously improving AI systems in production.
• Strong SQL and data manipulation skills.

Desirable Experience

• AI-assisted development tools such as Claude Code or GitHub Copilot.
• AI observability platforms such as LangSmith or Weights & Biases.
• Experience with Elasticsearch or enterprise search platforms.
• Experience implementing AI guardrails, tool calling and human-in-the-loop workflows.
• Previous experience delivering AI solutions within insurance, financial services or another regulated environment.