AI,ML Engineer

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

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.

- 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.

- 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.