Key skills
CloudPythonAIMLLLMOpenAIRAGLangChainAgenticHugging FaceVersion Control
About this role
Role Overview
- Develop and deploy LLM-powered applications and conversational AI systems
- Build and maintain RAG pipelines for enterprise knowledge retrieval
- Support the implementation of agentic frameworks and AI orchestration tools
- Integrate AI models with APIs, databases, and enterprise systems
- Collaborate with data and engineering teams to deliver AI-driven solutions
- Monitor, test, and optimise AI application performance
- Document technical solutions and contribute to best practices
Requirements
- Experience developing AI/ML applications using Python
- Knowledge of LLMs, prompt engineering, and RAG architectures
- Familiarity with LangChain, OpenAI APIs, Hugging Face, or similar technologies
- Experience with REST APIs and cloud platforms
- Understanding of software engineering best practices and version control
- Strong analytical and problem-solving skills
Tech Stack
- Cloud
- Python
Benefits
- Hybrid working arrangement
- Professional development opportunities
- Paid time off
- Health insurance