AI Engineer - Remote - Outside IR35 - Python - LLMs - Azure - RAG
Summary: The AI Engineer role focuses on developing production AI applications for a well-funded technology company, leveraging Python and Azure technologies. The position requires expertise in building and deploying LLM applications and advanced RAG systems for financial services. The role is remote, outside IR35, and offers an immediate start on a 12-month contract. Candidates should possess strong back-end engineering skills and experience with Azure AI services.
Key Responsibilities:
- Develop production AI applications for investment and research teams.
- Build and deploy LLM applications and advanced RAG systems.
- Design AI architectures and manage systems from concept to production.
- Utilize Azure AI services for application development.
- Deploy and operate workloads using Docker and Kubernetes.
- Ensure scalable and reliable back-end platform development.
Key Skills:
- Strong Python back-end engineering experience including FastAPI and WebSockets/SSE.
- Experience with production LLM applications and agentic workflows.
- Understanding of chunking strategies and retrieval optimization.
- Hands-on experience with Azure AI services.
- Experience with Docker, Kubernetes, monitoring, and CI/CD.
- Strong software engineering and systems design skills.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
AI Engineer - Python - LLMs - RAG - Azure required for an urgent start.
The AI Engineer - Python - LLMs - RAG - Azure will be working for a well-funded AI technology company backed by a major global technology partner and a sovereign wealth fund, building production AI applications used by investment and research teams across financial services.
AI Engineer - Python - LLMs - RAG - Azure key skills:
Strong Python Back End engineering experience including FastAPI, WebSockets/SSE and scalable API development.
Experience building and deploying production LLM applications, agentic workflows and advanced RAG systems.
Strong understanding of chunking strategies, retrieval optimisation, hierarchical retrieval and embedding model selection.
Experience designing AI architectures and taking AI systems from concept through to production.
Hands-on experience with Azure AI services including Azure OpenAI, AI Search, AI Foundry and Document Intelligence.
Experience deploying and operating production workloads using Docker, Kubernetes (AKS/EKS), monitoring and CI/CD.
Strong software engineering and systems design experience building scalable, reliable Back End platforms.
AI Engineer - Python - LLMs - RAG - Azure - Remote - Outside IR35 - 12 Month Contract - Immediate Start
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