Artificial Intelligence Engineer

2x Lead AI Engineers | Outside IR35 | Fully remote working | 6-Month Contract Active SC or DV or EDV Clearance needed! Role SummaryThe successful AI Solutions Engineer will extend and enhance our AI Operating System,which leverages LLMs to solve industry-specific challenges across defence, legal, health,infrastructure and management consulting sectors. This is a hands-on lead role focused on rapidly prototyping and deploying AI-poweredsolutions. Working directly with clients, you will translate their needs into scalable,production-ready AI applications using modern frameworks and techniques.Duties & Responsibilities Technical Development* Develop platform functionality using Python, building APIs and integrations to extendcapabilities for diverse client needs.* Design and implement LLM-powered applications and workflows using open sourcemodels such as Llama, Qwen and Gemma, as well as those online models fromOpenAI, Gemini, etc.* Build AI agents with tool/function calling, prompt engineering and appropriateguardrails using frameworks such as OpenAI AgentSDK, LangGraph or LlamaIndex.* Implement testing and evaluation frameworks for LLM applications, covering prompttesting, output quality metrics and agent behaviour validation.* Apply relevant AI technologies as needed, including retrieval systems (RAG,GraphRAG), knowledge graphs, vector databases or data pipelines.

Role RequirementsWork Experience* At least five years as a software engineer on commercial platforms, withdemonstrable experience building production LLM-powered applications.* Proven experience with API-level LLM usage, including tool/function calling, promptengineering and evaluation.* Experience with agent frameworks (OpenAI AgentSDK, LangGraph, LlamaIndexAgents or similar).* Experience developing APIs using FastAPI or similar frameworks and integrating withthird-party platforms.* Direct client-facing experience gathering requirements and delivering technicalimplementations.* Experience within agile development workflows and engineering teams. Skills & Abilities* Strong Python (or similar) programming skills with a focus on production-gradeapplications.* Excellent communication abilities, translating complex technical concepts for diverseaudiences.* Strong analytical and problem-solving approach, identifying scalable and reusablesolutions.* Leadership qualities, including technical mentorship, team collaboration and linemanagement.* Ability to align solutions with business goals and industry-specific constraints.* Self-sufficient contributor capable of working independently and seeking supportwhen needed. Nice to HaveThe following are examples of specialised areas that would be valuable. Deep expertise insome of these areas is preferred over surface-level knowledge across all domains.* Open source LLMs (Llama, Qwen, Gemma, GPT OSS) and local deploymentstrategies.* Frameworks and protocols such as Model Context Protocol (MCP) or Agent-to-Agent(A2A).* LLM evaluation tooling (OpenAI Evals, LangSmith, custom evaluation harnesses).* Advanced agent patterns: multi-agent systems, supervision, delegation strategies.* RAG, GraphRAG and knowledge graph design and implementation.* Vector databases and similarity search systems.* Graph databases (ArangoDB, Neo4j, Neptune) and property graph modelling.* Data engineering: ETL pipelines, document processing, schema design for AIapplications.* Cloud platforms (GCP preferred, AWS/Azure also relevant) and containerisation(Docker).* Observability and monitoring for LLM applications (tracing, metrics, cost tracking).* Secure coding practices for regulated industries and sensitive data handling.