Member of Technical Staff- Full Stack Software Engineer

About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role We are looking for a Full Stack Software Engineering to architect, build, and scale our developer-focused web application (fireworks.ai) and shape our end-to-end technical architecture. This role blends hands-on engineering with technical leadership, offering the opportunity to mentor other engineers, collaborate cross-functionally, and drive innovation in a fast-paced, AI-focused environment. You'll play a key role in delivering scalable, elegant, and highly performant solutions that directly impact our hundreds of thousands of developers and product vision. You will be directly shaping and shipping the most optimal developer journey—spanning intuitive front-end interfaces, robust APIs, and efficient backend orchestration—combined with our large offering of open-source generative AI models, enabling our users to seamlessly build, experiment, and ship their AI workflows with our playground. Key Responsibilities End-to-End Ownership: Engineering ownership of fireworks.ai from the user interface down to the API and data layer, with a strong focus on a delightful developer journey. Product-Led Growth: Participate in the team’s shared accountability for product-led growth through the web application, model playground, and seamless user onboarding workflows. Full Stack Development: Design, develop, and test responsive, performant web applications alongside robust, scalable backend services and APIs. Leadership & Mentorship: Mentor and support a team of full stack, frontend, and backend engineers through code reviews, pair programming, and ongoing technical coaching. Architectural Excellence: Define and implement full stack architectural standards, API design best practices, database schemas, and modern development workflows. Cross-Functional Collaboration: Partner with Product, Design, and Core AI/Infrastructure Engineering to align on requirements, system design, timelines, and delivery expectations. Systems & Components: Build and maintain reusable, scalable frontend component libraries while ensuring backend services are modular and easily integrated. Unified Developer Experience: Partner with other engineering teams to build an aligned developer journey across web, SDK, and CLI surfaces. Quality & Performance: Champion application performance, security, data integrity, and accessibility across the entire software stack. Innovation: Drive innovation by staying informed of emerging full stack trends, cloud-native technologies, and AI orchestration frameworks. Minimum Qualifications Education: Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. Experience: 6+ years of professional experience in full stack software development. Leadership: 2+ years of experience in a technical leadership role (e.g., tech lead, team lead, or engineering manager). Frontend Proficiency: Strong expertise in React, TypeScript, JavaScript, and Next.js . Backend Proficiency: Strong expertise in building server-side applications, designing RESTful or GraphQL APIs , and working with modern backend languages (e.g., Node.js, Python, Go). Data Management: Solid understanding of database systems (SQL/NoSQL), caching strategies, and data modeling. Track Record: Proven track record of delivering and scaling production-grade, full stack web applications. Architecture & Devops: Experience with modern cloud infrastructure (AWS, GCP, or OCI), containerization (Docker), and full stack CI/CD pipelines. Preferred Qualifications AI/ML Domain Knowledge: Experience working in AI/ML-focused environments, or interacting with LLM APIs, vector databases, and model orchestration tools (e.g., LangChain, LlamaIndex). Startup Agility: Prior startup experience—especially as a technical founder or early engineer—is a major plus. People Growth: Experience managing or mentoring other engineers, including providing performance feedback and supporting career development. Developer Tooling: Prior experience building developer platforms, SaaS dashboards, or complex interactive environments like playgrounds and sandboxes. Open Source: Contributions to open-source projects, internal component libraries, or developer tools. Why Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-laten