Genios AI

Design and develop advanced financial user interfaces, visualize complex data, and collaborate across frontend and backend teams. | Requires 2-3 years of professional React experience, proficiency in JavaScript/TypeScript, experience with animations and data visualization libraries, and some Python knowledge. | About the position Not Your Average Tech Gig. We’re not just building another app – we’re completely reinventing how financial workflows function in the digital age. We’re pioneering the future of finance, one brilliant feature at a time, by creating technology that transforms how financial professionals work. What You'll Actually Do Here Architect Financial Genios – Transform complex financial nightmares into beautiful, intuitive user experiences that make our customers say "how did we ever live without this?" Wield React Like a Superpower – You'll craft lightning-fast, pixel-perfect interfaces with smooth animations using Framer Motion that make financial data dance. Master Data Visualization – Turn boring numbers into compelling visual stories that help users understand complex financial and AI-driven insights. Own Your Creations – From whiteboard sketches to production deployment, you'll guide features through their entire lifecycle and celebrate when users fall in love with them. Shape Our Tech DNA – Your voice matters in every technical decision as we build scalable, responsive standards that will power our growth. Bridge Frontend & Backend Worlds – Collaborate seamlessly with our Python/ML stack while staying focused on creating exceptional user experiences. Responsibilities • Architect Financial Genios – Transform complex financial nightmares into beautiful, intuitive user experiences that make our customers say "how did we ever live without this?" • Wield React Like a Superpower – You'll craft lightning-fast, pixel-perfect interfaces with smooth animations using Framer Motion that make financial data dance. • Master Data Visualization – Turn boring numbers into compelling visual stories that help users understand complex financial and AI-driven insights. • Own Your Creations – From whiteboard sketches to production deployment, you'll guide features through their entire lifecycle and celebrate when users fall in love with them. • Shape Our Tech DNA – Your voice matters in every technical decision as we build scalable, responsive standards that will power our growth. • Bridge Frontend & Backend Worlds – Collaborate seamlessly with our Python/ML stack while staying focused on creating exceptional user experiences. Requirements • Battle-Tested Frontend Warrior – 2-3 years professional React development experience, preferably in AI/ML or early-stage startups • JavaScript/TypeScript Fluency – Strong expertise in modern JavaScript and TypeScript, with ES6+ features and strong typing as part of your craft • Animation & Styling Master – Proficiency with Framer Motion for animations and micro-interactions, plus Tailwind CSS for utility-first styling • Data Visualization Maestro – Experience with Chart.js, Recharts, or similar libraries to turn data into compelling visual stories • State Management Pro – Experience with React Query or similar server state management solutions • Mobile-First Developer – Strong responsive design and mobile-first development principles • Full-Stack Aware – Basic Python knowledge (ability to read and understand code) to bridge frontend and backend effectively • Startup Veteran – Must have previous experience working in early-stage startup environments Nice-to-haves • AI/ML Startup Background – Direct experience in AI/ML startups or exposure to AI/ML product development • Real-Time Integration – WebSocket integration experience for real-time data handling • Advanced Graphics – Canvas/WebGL graphics experience (Konva, Three.js) for complex visualizations • Enterprise Tooling – Monorepo experience (Turborepo, Lerna, Nx) and Storybook for component documentation • State Machine Thinking – Experience with XState or similar state management approaches • Backend Dabbling – FastAPI or Python web framework knowledge • Database Basics – Basic MySQL knowledge for data-driven applications • Cloud Experience – AWS services experience (S3, CloudFront) Benefits • Competitive compensation • Unlimited PTO • Hybrid working model • AI Assistants for work (Coding, General Purpose)

Build and scale AI/ML and GenAI pipelines, deploy and manage GenAI solutions, operationalize LLMs, and deliver production-grade AI features across the stack. | 3+ years in ML/DL pipelines and applied AI, proficiency in Python or Go with AI frameworks, experience shipping production AI features, and strong software engineering background. | About Us We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We’re looking for an Applied AI Engineer who is first and foremost a strong software engineer, with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use. As an Applied AI Engineer, you’ll focus on making minimum loveable products powered by AI—building scalable, reliable, and user-friendly systems. You’ll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation. We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority. Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings. Key Responsibilities • Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems. • Integrate model training, evaluation, deployment, and monitoring into product workflows • Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools. • Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning. • Benchmark models, develop evaluation frameworks, and improve reliability and auditability. • Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments. • Work across the stack—from backend systems to product SDKs—to deliver AI features directly into user-facing applications. • Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind. • Own critical product components and take responsibility for delivering robust, production-grade features. • Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems. • Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement. Qualifications • BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience. • Strong software engineering background with proven experience shipping production systems. • 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions. • Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC. • Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API. • Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems. • Experience building and scaling backend platforms, APIs, and microservices. • Comfortable working full-stack, from model APIs down to user-facing integrations. • Have shipped AI features that users actually use; production experience over theoretical knowledge. • Track record of building reliable products with strong attention to detail and usability. • Autonomous and excited about taking ownership over major initiatives. • Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle. Bonus Points • Production experience with LLMs (APIs or custom implementations) at meaningful scale. • Experience building agentic systems or LLM-enabled products. • Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks. • Experience with performance optimization and high-scale document indexing systems. • Prior startup experience, grit, and ability to thrive in fast-moving environments. Familiarity with databases and comfortable writing SQL queries. Perks • Competitive compensation • Unlimited PTO • AI Assistants for work (Coding, General Purpose, etc.)