Senior AI Engineer

About the role

Join Affinity, a leading relationship intelligence platform, as a Senior AI Engineer. In this role, you will collaborate with cross-functional teams to design and build LLM-powered AI systems, solve complex information extraction and retrieval problems, and contribute to the future of private capital's leading CRM platform. You will have the opportunity to work with cutting-edge technology and make a significant impact in the industry. Key missions: Collaborate with cross-functional teams to design and build LLM-powered AI systems that uncover insights from business interaction data.. Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking, and contextual compression techniques.. Work on a variety of information extraction, information storage, and information retrieval problems for both structured and unstructured data. Profile: - Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles - Hands on experience with LLM applications in production including prompt engineering and utilizing frameworks for online and offline evaluation - Familiarity with data security, versioning, and MLOps principles - 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production - Experience with vector or graph databases - Experience with document chunking, embedding models, and context window optimization - Familiarity with metadata-based retrieval and re-ranking strategies - Hands on experiences with model evaluation metrics (e.g. perplexity, hallucination rate, factual consistency) - Experience with LLM assisted search, such as query understanding and augmentation, text2sql, and entity extraction - Experience with enterprise AI applications with strict compliance, audit, or legal requirements - Experience with graph based recommendation systems, such as graph NN - Experience with multi-modal search - Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvements - Experience with developing AI applications powered by agent-based systems - Experience with packaging, CI/CD and pipeline automation