AI,ML Engineer

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 hands-on experience with Python in data-heavy environments. 2+ years of hands-on experience in AI/ML or data science, with strong focus on LLMs and NLP. Experience building systems using LLM orchestration frameworks like LangChain, LlamaIndex, or similar. Proven experience with agent-based architectures and/or RAG pipelines. Strong Python skills and experience integrating APIs, vector search, or knowledge graphs. Passion for AI, staying current with the latest LLM developments, open-source tools, and best practices. BSc or MSc in Computer Science, Artificial Intelligence, or a related field.