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
