Applied AI Engineer

Join Quantifind as an Applied AI Engineer on the AI Systems team. You'll be responsible for rapid prototyping and development of AI-driven workflows, collaborating with internal and external stakeholders. The role requires a strong technical background, experience with AI coding tools, and a startup mindset. Benefits include meaningful equity, performance reviews, collaboration across departments, and flexible work options.

• Rapidly prototype and iterate on applications with internal and external stakeholders, building apps from scratch within given frameworks and resources.
• Collect and validate product requirements, perform quality assurance and test-driven development, and manage the evolution of prototypes into production.
• Innovate ways to increase team velocity using AI as both an accelerant and a control layer, and bring evidence-based design sense to the development process.
• You're comfortable building prototype applications across the stack — backend, frontend, data, cloud — and you'd rather be handed an ambiguous problem and trusted to figure it out than wait for instructions
• You are an engineer who codes with AI as a first-class tool, not an add-on. You pair traditional technical training with a forward-leaning approach to agentic coding, rapid prototyping, and multi-agent workflows. You move fast, iterate with stakeholders, and care about shipping things that work
• You can communicate directly with clients and cross-functional teams, and you bring a startup mindset: self-driven, curious, constructive, and motivated by mission over process
• You have new ideas you're willing to test, fail, and iterate on — ultimately demonstrating impact that expands existing value or opens entirely new markets
• You understand that working in regulated environments means building responsibly, with a compliance mindset baked into how you code and ship
• Sharable evidence of proven work — portfolios, websites, projects, or competitions (preferred)
• Core stack: Python, JavaScript/React, PostgreSQL. Helpful: Spark/PySpark, Scala, R, and other large-scale data tooling
• Forward-leaning in AI coding with traditional technical training as a foundation
• Self-driven, mission-driven, curious, and constructive; startup mindset with strong communication skills
• Ability to communicate directly with clients and cross-functional teams, and to rapidly iterate and co-develop with stakeholders
• Ability to provide references and meet in person
• US Citizen
• Technical education; post-graduate education preferred
• Hands-on with AI coding tools and agentic workflows (Claude Code, GPT/Codex, Cursor, Windsurf), including multi-agent approaches for testing and validation
• 4+ years of professional experience, including graduate or Ph.D. work if relevant