Mathys+Potestio / The Creative Party®
AI-Accelerated Full Stack Engineer
Mathys+Potestio / The Creative Party®, Austin, Texas, us, 78716
Overview
AI-accelerated Full Stack Engineer who builds like its their own product. Youll own features end-to-endfrom frontend to backend to infraand use AI tools to 10x speed, not cut corners. This role is ideal for engineers who think like founders, move without waiting, and thrive in fast, event-driven systems. Youll work with a lean, high-agency team that values outcomes over ceremony. What Youll Do
Build and ship complete features using Next.js, Node.js, TypeScript, Python, etc. Design and implement event-driven architectures that support scalable, decoupled systems. Use AI tools like GitHub Copilot, GPT-4o, Claude, and LangChain to accelerate development, testing, and debugging. Define, build, and iterate on MVPs without waiting for detailed specs or designs. Own the full lifecycle: architecture, development, testing, deployment, and monitoring. Troubleshoot and self-unblock without relying on DevOps or QA. Move fast, break down complex problems, and make sound tradeoffs under uncertainty. What Were Looking For
7+ years of full-stack engineering experience. Proven ability to deliver high-quality software from idea to production independently. Strong fundamentals in API design, system architecture, and cloud infrastructure. Hands-on experience designing and maintaining event-driven architectures (e.g., pub/sub, message queues, AWS EventBridge, SNS/SQS, Kafka, etc.). Comfortable working across frontend (React/Next.js), backend (Node/Python), and infra (AWS, Docker, Terraform, CI/CD). Startup mindset: you dont wait for Product, Design, or QAyou step in and drive. Bias for action, clarity, and continuous learning. Deep familiarity or strong interest in AI tools and workflows that improve engineering velocity and quality. Nice-to-Haves
Experience with LangChain, vector databases, or RAG pipelines. Experience building internal tooling or AI-enhanced developer workflows. Exposure to HIPAA/PHI handling and healthcare compliance. Experience applying machine learning concepts in production systems (e.g., model inference, feature pipelines, personalization, etc.). Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Staffing and Recruiting #J-18808-Ljbffr
AI-accelerated Full Stack Engineer who builds like its their own product. Youll own features end-to-endfrom frontend to backend to infraand use AI tools to 10x speed, not cut corners. This role is ideal for engineers who think like founders, move without waiting, and thrive in fast, event-driven systems. Youll work with a lean, high-agency team that values outcomes over ceremony. What Youll Do
Build and ship complete features using Next.js, Node.js, TypeScript, Python, etc. Design and implement event-driven architectures that support scalable, decoupled systems. Use AI tools like GitHub Copilot, GPT-4o, Claude, and LangChain to accelerate development, testing, and debugging. Define, build, and iterate on MVPs without waiting for detailed specs or designs. Own the full lifecycle: architecture, development, testing, deployment, and monitoring. Troubleshoot and self-unblock without relying on DevOps or QA. Move fast, break down complex problems, and make sound tradeoffs under uncertainty. What Were Looking For
7+ years of full-stack engineering experience. Proven ability to deliver high-quality software from idea to production independently. Strong fundamentals in API design, system architecture, and cloud infrastructure. Hands-on experience designing and maintaining event-driven architectures (e.g., pub/sub, message queues, AWS EventBridge, SNS/SQS, Kafka, etc.). Comfortable working across frontend (React/Next.js), backend (Node/Python), and infra (AWS, Docker, Terraform, CI/CD). Startup mindset: you dont wait for Product, Design, or QAyou step in and drive. Bias for action, clarity, and continuous learning. Deep familiarity or strong interest in AI tools and workflows that improve engineering velocity and quality. Nice-to-Haves
Experience with LangChain, vector databases, or RAG pipelines. Experience building internal tooling or AI-enhanced developer workflows. Exposure to HIPAA/PHI handling and healthcare compliance. Experience applying machine learning concepts in production systems (e.g., model inference, feature pipelines, personalization, etc.). Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Staffing and Recruiting #J-18808-Ljbffr