Engineer in Residence - Generative AI
Build and iterate on full-stack GenAI prototypes, applying prompt engineering, RAG, vector DBs, and agentic frameworks while collaborating with Andrew Ng. Requires strong Python, modern frontend, cloud deployment, and rapid prototyping skills.
About the job
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
Skills
Python, JavaScript, HTML, CSS, Postgres, MongoDB, Pinecone, Weaviate, LangGraph, Crewai, RAG, AWS, GCP, Supabase, Github Copilot
Similar jobs
Fullstack Engineering jobs
Verneek
New York, NY
Build high-performance front-end and back-end applications supporting an AI platform. The role requires 3+ years of experience and strong TypeScript, React, and Next.js skills, with machine learning experience preferred.
Databricks
Chicago, IL
Build secure, scalable data and AI applications on Databricks, including interactive interfaces, APIs, dashboards, and conversational analytics solutions. The role requires 5+ years of full-stack application development experience and proficiency with Python plus modern web frameworks.
Alex
San Francisco, CA
Build full-stack consumer and enterprise software for an AI recruiting platform, spanning interview experiences, hiring workflows, integrations, analytics, and scalable system architecture. The role requires experience with modern JavaScript technologies, Python, cloud infrastructure, and DevOps.
Rover
Seattle, WA
Builds and owns provider- and pet parent-facing pricing features across the web stack, with emphasis on backend engineering, production observability, testing, and AI-augmented development. Requires 3+ years of professional software development experience and comfort with Python/Django or another major backend language.
Coalition Security
United States
Build and maintain Salesforce, CRM, and business-application integrations that improve operational workflows and reliability. The role requires 3+ years of software engineering experience, Salesforce development expertise, integration knowledge, and strong collaboration with technical and business stakeholders.