Key Responsibilities
- Develop and enhance LLM-powered applications and AI chatbots using Python.
- Build AI agents with tool calling, API integrations and workflow orchestration.
- Implement RAG pipelines using document processing, embeddings and vector databases.
- Work with LLM APIs such as OpenAI, Claude or Gemini.
- Assist with prompt engineering, testing, debugging and evaluation of AI applications.
- Integrate AI applications with structured and unstructured data sources.
- Support deployment of AI solutions on cloud platforms under technical guidance.
- Collaborate with senior engineers and business stakeholders to deliver AI solutions.
Minimum Requirements
- Working knowledge of Python and frontend chatbot integration.
- Basic understanding of Generative AI, LLMs and prompt engineering.
- Practical experience with at least one AI framework, such as LangChain, LangGraph or OpenAI Agents SDK, including personal or training projects.
- Understanding of RAG, embeddings, semantic search and vector databases.
- Good knowledge of SQL, data processing and data validation.
- Familiarity with Git, debugging and basic software development practices.
- Ability to explain technical concepts clearly and work collaboratively.
Rate:
Not specified
Location:
London
IR35 Status:
Outside
Remote Status:
Not specified
Industry:
AI & Machine Learning
Seniority Level:
Not Specified