Applied AI Engineer (C#/.NET) - Hybrid, Scalable AI Features

Oscar Technology

East Midlands

Hybrid

GBP 68,000 - 92,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Career progression
AI strategy shaping
Modern engineering culture

Job summary

Oscar Technology is seeking an Applied AI Engineer to design and productionise AI-powered features within a modern .NET platform in Nottingham. The role involves integrating LLMs, building RAG pipelines and APIs, and delivering scalable backend services in a hybrid setup with two days in the office.

You will work with Product, Engineering and Data teams to turn cutting-edge AI into reliable software that delivers real commercial value.

Qualifications

  • Commercial backend C#/.NET development experience.
  • Experience integrating AI/LLMs into production software.
  • Understanding of RAG, embeddings, and vector search.
  • Experience building scalable cloud-based applications on Azure.
  • Genuine interest in Applied AI and solving real-world product problems.

Responsibilities

  • Design and develop AI-powered features within a modern C#/.NET stack.
  • Integrate LLMs and Generative AI into customer-facing products.
  • Build RAG pipelines using vector databases and semantic search.
  • Develop APIs and backend services that support AI functionality at scale.
  • Collaborate with Product, Engineering and Data teams to deliver intelligent capabilities.
  • Evaluate AI outputs, improve reliability and implement guardrails and monitoring.

Skills

C#/.NET development
AI/LLM integration
Azure cloud
RAG & vector search
API/backend services

Tools

Azure
Azure OpenAI
OpenAI APIs
Semantic Kernel
Vector Databases
Docker
SQL Server
REST APIs
Microservices

Job description

Oscar Technology is seeking an Applied AI Engineer to design and productionise AI-powered features within a modern .NET platform in Nottingham. The role involves integrating LLMs, building RAG pipelines and APIs, and delivering scalable backend services in a hybrid setup with two days in the office.

You will work with Product, Engineering and Data teams to turn cutting-edge AI into reliable software that delivers real commercial value.

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