AI/ML Engineer VC-Backed Fintech Startup Location: Remote (SF or LA Preferred) | Compensation:
$170,000-$220,000| Startup Stage: Seed Who Are We? We are a VC-funded fintech startup with a live product, six-figure revenue, and strong runway, reimagining private wealth management. What's In It for You? Ownership and impact as a founding engineer (team of five), driving AI-powered financial products from the ground up Cutting-edge technology working with LLMs, RAG architectures, AI agents, and multi-modal AI in a startup with real users and revenue A well-funded startup that is already profitable, providing both stability and startup upside High-caliber team with ex-FAANG, YC founders, and top-tier engineering talent in an environment that values speed, execution, and ownership Competitive compensation with equity What Will You Do? Design, build, and deploy AI/ML-driven financial automation and chatbot-based client solutions Optimize retrieval pipelines for RAG architectures and enhance LLM prompting techniques, including Tree of Thoughts, Constitutional AI, and agent protocols Implement AI agents using LangChain, AutoGen, or CrewAI to create intelligent financial decision-making tools Collaborate with cross-functional teams to integrate AI models into a production financial services platform Work in a fast-paced, high-ownership environment where you drive technical decisions What Will You Need? Must-Have: Degree in Computer Science, AI/ML, or related field Three or more years in software engineering, with at least one year of hands-on experience with modern LLMs (Claude, GPT-4, Llama 3) or three or more years in AI/ML Proficiency in Python and TypeScript Startup experience, preferably at a VC-backed tech startup, to demonstrate initiative and comfort with uncertainty Ability to work startup hours (50 to 60 per week) and sync with the Taiwan team daily at approximately 5 PM PT Strongly Preferred: Computer science degree from a top-ranked university such as IIT in India LLM or chatbot experience and knowledge of RAG architectures Experience in multi-modal AI systems involving text, structured data, and numerical data Built AI agents with LangChain, AutoGen, or CrewAI Worked at a high-growth VC-backed startup or a company with a FAANG-level hiring bar Experience in modern fintech This is not a typical nine-to-five role. If you are excited about owning AI/ML product development in a high-growth, fast-paced fintech startup, apply now.
