About the Role At Seek, we’re building the first-ever marketplace for data apps—where providers and consumers connect to drive real business impact fast. Insight Cloud isn’t just another BI tool; it’s a platform built from the ground up for the secure exchange of complete, production-ready data applications. We're hiring a Principal Software Engineer, Applied AI who will serve as a technical leader in bringing cutting-edge AI into production at scale. This role goes beyond coding features. You'll shape technical direction, set patterns for integrating AI into cloud-native applications, and mentor others to deliver robust, human-centered AI experiences. You'll work across the stack while also ensuring our AI capabilities (like conversational querying, guided workflows, and intelligent recommendations) are implemented with reliability, security, and long-term scalability. In this role you will get to: - Build full stack features using React, Python, and modern APIs to deliver high-quality user experiences - Design and extend backend services and APIs that integrate AI models and external AI services into the platform - Create intuitive user workflows that incorporate AI (e.g., conversational data querying, assisted discovery, or guided analytics) - Integrate with Snowflake and our semantic modeling layer to deliver seamless data-driven applications - Define patterns and best practices for integrating LLMs and semantic modeling into data workflows - Mentor and guide engineers, raising the bar on engineering craft, AI integration strategies, and system reliability - Shape the app marketplace experience by advancing intelligent recommendations, AI-assisted publishing, and cross-app insights - Ensure reliability at scale by driving observability, automated testing, CI/CD improvements, and performance tuning across AI-enabled systems - Partner with product and design leadership to translate ambiguous AI opportunities into customer-ready features - Evaluate and influence technology choices (agent frameworks, Snowflake integrations, orchestration layers) We’re excited about you because you have: - 9+ years of full stack development experience with strong proficiency in React and Python - Proven track record building and shipping production-grade web applications (SaaS or data platforms a plus) - Deep expertise in system architecture, distributed systems, and API design - Familiarity with AI/ML integration (using APIs, SDKs, or model endpoints) in production software - Strong ability to debug complex systems end-to-end across frontend, backend, and data layers - Demonstrated experience as a technical mentor or team lead driving engineering quality and scaling teams - Excellent communicator who can bridge technical and business perspectives in cross-functional teams Bonus points if you have: - Hands-on experience integrating LLMs (OpenAI, Anthropic, etc.) or retrieval-augmented generation (RAG) pipelines into apps - Knowledge of agent frameworks or intelligent assistant patterns - Familiarity with Snowflake or other cloud data warehouses - Recognized as a go-to problem solver or thought leader in AI product integration or full stack engineering - Startup experience—comfortable moving quickly and wearing multiple hats Salary: - The annual salary range for this position is between $170,000 - $190,000, depending on experience and qualifications. Benefits: - Medical Insurance, Dental Insurance, PTO, 16 annual company holidays, 401K, Vision Insurance Location - This is an entirely remote position for candidates based in the US. No Visa Sponsorship Available - We do not offer visa sponsorship at this time. Why Seek? Seek is on a mission to connect analytics developers and consumers like never before—delivering business value in minutes, not months. Our platform enables data providers to deliver their datasets as complete analytics apps: embedded visualizations, predictive models, governed collaboration, and scalable delivery. We value ownership, flexibility, and collaboration. You’ll be part of a team that prioritizes work-life balance, experimentation, and innovation—working alongside talented peers who are passionate about pushing the boundaries of analytics and applied AI.