Engineer in Residence - Generative AI

What you will do:

• Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility
• Apply GenAI building blocks (prompt engineering, graphDBs, vectorDBs, agentic frameworks, evals, and guardrails) to real-world development
• Make key decisions around infrastructure and platform choices, balancing short-term prototyping needs with long-term scalability
• Collaborate cross-functionally with product, design, and AI experts to create, test, and iterate on new concepts
• Use AI-assisted coding tools (e.g., Cursor, Windsurf, GitHub Copilot, Claude Code) to enhance productivity and speed of iteration
• Gather user feedback and iterate quickly based on insights to improve usability and effectiveness
• Deploy and manage applications on cloud infrastructure (e.g., AWS, GCP, Supabase)
• Build and integrate APIs and third-party services
• Participate in architecture discussions and technical planning
• Identify and troubleshoot issues across the stack
• Contribute to improving development processes, tools, and team practices
• Stay current with industry trends and emerging technologies

What you must bring:

• Demonstrated experience building applications that incorporate Generative AI
• Proficiency with GenAI tools and frameworks: prompt engineering, Retrieval-Augmented Generation (RAG), vector databases (e.g., Pinecone, Weaviate), agentic platforms (e.g., LangGraph, CrewAI), LLM evals, and guardrails
• Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks
• Strong back-end skills, particularly with Python
• Familiarity with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.)
• Hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code) and understanding of best practices for effective use
• Proven track record of architecting, implementing, and deploying scalable and maintainable AI-powered systems
• Expertise in designing end-to-end system architectures involving front-end, back-end, APIs, and AI/ML components
• Deep curiosity and a fast-learning mindset especially around emerging trends in AI
• Ability to write scrappy, disposable code for fast prototyping, and clean code for scalable products
• Strong communication skills and ability to work collaboratively across disciplines

Nice to have:

• Experience gathering user feedback directly and iterating based on insights
• Exposure to rapid prototyping methodologies and shipping MVPs
• Interest or experience in product design and product thinking
• Contributions to open-source GenAI projects or tools
• Familiarity with serverless architectures or edge computing
• Prior experience as a technical lead or architect on teams delivering AI-driven products
• Knowledge of advanced architecture patterns (microservices, event-driven architectures, datastore design)
• Experience with large-scale system design and high-performance cloud infrastructures
• Familiarity with governance, compliance, and security aspects in AI application architecture