Full Stack Software Engineer, Fireworks AI
Member of Technical Staff
Office located in San Mateo, CA
Generative AI platform enabling rapid scaling for developers and businesses
Open for applications
Generative AI platform enabling rapid scaling for developers and businesses
101-200 employees
Open for applications
Office located in San Mateo, CA
101-200 employees
Company mission
To help every organization unleash the full power of artificial intelligence.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
Whilst the development of generative AI is thought to be the reserve of large companies like Open AI, smaller startups such as Firework AI are making this technology easier to access and develop for smaller companies wanting to handle specific business needs using AI. As an open-source model API, it has one of the largest user bases - with over 12,000 users leveraging Fireworks AI’s software.
Though lacking the brand name recognition of generative AI developers like Google and Meta, Fireworks AI differentiates itself in a market crowded with large competitors through its unique approach to deploying its software. It creates smaller, production-grade, customizable generative AI models that can be launched privately and securely, rather than the non-private and inflexible models built by larger companies.
After its 2025 Series C round of $250M, Fireworks AI has been valued at over $4B, an impressive sum for a David in a sea of Goliaths. The company plans to use its funding to reshape AI infrastructure as well as expand globally. It will be interesting to see how the company evolves with its potentially disruptive business approach to generative AI.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2025
$230m
SERIES C
Jul 2024
$52m
SERIES B
Total funding: $307m
Company HQ
Redwood City, CA
Leadership
Lin Qiao
(Co-Founder & CEO)Previously a Senior Director of Engineering at Meta, a Tech Lead at Linkedin, a Research Staff Member at IBM Almaden Research Center and an Advisory Software Engineer at IBM Silicon Valley Lab.
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