Global IT GenAI Software Engineer Director - London

- Overall 9+ years of experience in engineering, machine learning & LLMs - 6+ years of hands-on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications - 2+ years of experience in developing Gen AI products using a variety of LLMs & frameworks - 1+ year of experience leading a team - Advanced proficiency in Python for data science, engineering & LLMs - Highly curious technically to evaluate & test new technologies in the Gen AI space - Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines - Experience with leveraging, training and fine-tuning Foundation Models including multimodal inputs and outputs - Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex) - Proficiency in generating and working with embeddings across a variety of data formats - Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets - Expertise with RAG concepts and fundamentals (vectorDBs, semantic search, re-rankers) and implementing RAG systems - Experience with multi-agent frameworks/systems and their applications in complex problem-solving scenarios - Experience in working with a variety of databases (SQL, NoSQL), APIs & microservices development - Experience with LLMOps tools (e.g. Langsmith) to implement guardrails and track metrics in Gen AI products - Experience in constructing and querying knowledge graphs - Experience in front end development technologies (e.g. REACT) is a plus - Excellent communication skills, with the ability to explain complex technical concepts to various audiences - Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization