AI Engineer

We are looking for a Senior AI Engineer in Lead capacity to architect and build next generation systems for one of our client in Central London. AI Engineer role is to design and implement intelligent systems using agentic AI capable of autonomous decision-making and task execution by integrating advanced machine learning models with reasoning, planning, and interaction capabilities. Person we are looking for should also be able to scale AI micro services, implement well-known communication patterns and apply best practices for large-scale distributed systems. · Advanced Python proficiency, especially in scalable, clean code architecture and micro services (e.g., FastAPI, Flask, asyncio) · Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka) · Experience with authentication and authorisation mechanisms (e.g. OAuth2, JWT, Azure AD) · At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/retrieval systems · Practical knowledge and hands-on experience with: RAG architectures, LLMs (e.g., OpenAI, Antropic), Vector databases (e.g., FAISS, Azure AI Search), Embeddings (e.g., OpenAI) · Strong grasp of NLP techniques: named entity recognition (NER), document classification, chunking, summarisation, question answering. · Ability to evaluate trade-offs and select appropriate ML/AI techniques for a given problem. · Experience with PoC development and iterating quickly based on results. · Familiarity with LangChain, LlamaIndex, or similar Agentic frameworks. · Strong debugging, profiling, and optimisation skills for AI applications. Good to have: · Experience with OCR libraries like Tesseract or Azure Form Recognizer.