AI Team Lead

Description We’re looking for a passionate and forward-thinking AI/ML Engineer to join our R&D team at IVIX, where we use cutting-edge AI to fight financial crimes . In this role, you’ll focus on building and deploying advanced AI systems powered by large language models (LLMs), autonomous agents, and retrieval-augmented generation (RAG) architectures. You’ll help us turn noisy, unstructured web data—social media posts, documents, business listings—into structured, high-confidence insights at scale. This is an opportunity to work with one of the most impactful AI stacks in production, solving hard real-world problems in a startup environment. Equal Opportunity Employer About the company IVIX is the first AI-powered solution designed specifically to address a $20 trillion problem: illuminating the global shadow economy. IVIX leverages Open-Source Intelligence (OSINT) and highly advanced, cutting-edge technologies to reveal illicit business activity around the world, empowering governments in their mission to fight financial crime and close the tax gap. IVIX employs a variety of AI tools (deep neural networks, large language models, and predictive modeling) as well as advanced data analytics to rapidly pinpoint large-scale illicit business activity, so government authorities can combat financial crime in the digital age. Led by security, tech, tax and financial crime experts, and advised by a diverse team of former IRS commissioners, IVIX works with dozens of state and federal governments globally. About the postion Design, prototype, and deploy LLM-powered systems for information extraction, reasoning, and classification. Build autonomous agents that can interact with knowledge sources, APIs, and structured data to derive actionable insights. Implement and optimize RAG pipelines, integrating vector databases and LLM orchestration frameworks. Collaborate with product, data, and software teams to translate business goals into AI-powered workflows. Evaluate and integrate tools such as LangChain, OpenAI, Gemini, vector DBs (e.g., FAISS, Pinecone), and others. Requirements 5+ years of experience in traditional machine learning, including model development, optimization, and deployment in production environments 2+ years of experience in generative AI (LLMs, fine-tuning, embeddings, applied NLP use cases) Proven track record of leading AI initiatives end-to-end, from research and prototyping to production-scale deployment Experience defining and driving AI strategy, identifying opportunities, and aligning technical direction with business goal Strong background in building and managing AI/Data Science teams, fostering innovation, and mentoring talent Experience with agent-based architectures, RAG pipelines, and integrating APIs, vector databases, or knowledge graphs Familiarity with cloud platforms (AWS/GCP/Azure), data engineering workflows, and enterprise-scale system design Excellent communication and leadership skills, with the ability to partner with executives and cross-functional stakeholders Passion for advancing AI, staying ahead of industry trends, and applying cutting-edge research into practical solutions