Artificial Intelligence Engineer

Summary: The role of AI Engineer involves developing and integrating machine learning and artificial intelligence solutions, with a focus on document understanding and natural language processing. The position requires hands-on experience with various AI architectures and techniques, as well as a solid understanding of API integration and authentication mechanisms. The role is based in London, UK, and operates in a hybrid working arrangement.

Key Responsibilities:

• Develop and integrate ML/AI solutions, particularly in document understanding, NLP, and search/retrieval systems.
• Implement API integration patterns and inter-service communication.
• Utilize authentication and authorization mechanisms effectively.
• Deliver at least two ML/AI solutions to production.
• Evaluate trade-offs and select appropriate ML/AI techniques for specific problems.
• Develop proof of concepts and iterate based on results.
• Debug, profile, and optimize AI applications.
• Work with RAG architectures, LLMs, vector databases, and embeddings.
• Familiarity with LangChain, LlamaIndex, or similar frameworks.

Key Skills:

• Solid understanding of API integration patterns (e.g., REST, Kafka).
• Experience with authentication and authorization mechanisms (e.g., OAuth2, JWT, Azure AD).
• Hands-on experience with RAG architectures, LLMs, vector databases, and embeddings.
• Strong grasp of NLP techniques (e.g., NER, document classification, summarization).
• Ability to evaluate ML/AI techniques for specific problems.
• Experience with PoC development.
• Strong debugging, profiling, and optimization skills.
• Experience with OCR libraries (e.g., Tesseract, Azure Form Recognizer) is a plus.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT