Principal Software Engineer

Job description
• 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)

Job Qualifications
• Strong proficiency in one or more backend languages: Python, Go, Java, Node.js, C#, or similar
• Deep experience with relational & non-relational databases: PostgreSQL, MySQL, MongoDB, Redis, etc.
• Experience building RESTful and/or GraphQL APIs
• Experience with microservices architecture and message queues (Kafka, RabbitMQ, etc.)
• Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure)
• Strong understanding of CI/CD, Git workflows, and automated testing
• Knowledge of system security, authentication, and authorization standards (JWT, OAuth, etc.)

Job Qualifications
• Education & Experience:
• 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
• 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
• Technical Skills:
• Expert in Python, Go, Java, or similar backend languages
• Deep experience with cloud platforms (AWS, GCP, Azure)
• Proficiency in ML frameworks & LLM tooling (PyTorch, TensorFlow, Transformers, LangChain, etc.)
• Strong experience with microservices, REST/GraphQL, and streaming pipelines
• Containerization & orchestration (Docker, Kubernetes)
• CI/CD, DevOps, observability, and performance optimization
• Familiarity with data engineering tools (Spark, Airflow, Kafka, etc.)
• Experience with vector databases, RAG pipelines, and model inference optimization