Member of Technical Staff at Fireworks AI, New York, NY

Neolife Updates; New York (NY); Presencial; USD 180 000 - 240 000; Tempo integral

Resumo da oferta

Fireworks AI in New York, NY seeks a Member of Technical Staff, Software Engineer to build and scale backend infrastructure powering model serving, orchestration, and developer tooling. As a core platform engineer, you will own end-to-end features, balancing performance and reliability while delivering strong developer experiences.

This is a full-time on-site role in Manhattan with autonomy and direct business impact.

Qualificações

• 5+ years of hands-on software development experience.
• Minimum 2 years working with AI systems or AI tooling.
• Ability to collaborate with cross-functional teams and AI-enabled development.
• Clear, reliable abstractions with a focus on developer experience.

Responsabilidades

• Architect and maintain scalable backend services for the primary web application.
• Design robust systems for model orchestration and fine-tuning workloads.
• Develop core enterprise features: authentication, access controls, billing, policy enforcement.
• Construct seamless APIs and developer tools to optimize workflows.
• Leverage modern AI tooling to accelerate development and automate tasks.

Conhecimentos

Experience verification

AI experience

Collaborative mindset

Product sense

Descrição da oferta de emprego

The enterprise artificial intelligence landscape is evolving at a breakneck pace, transforming how developers deploy and interact with modern models. At the forefront of this shift, Fireworks AI is seeking a driven Member of Technical Staff, Software Engineer in New York, NY. In this full-time role, you will build and scale the critical backend infrastructure powering model serving, orchestration, and next-generation developer tooling.

Role Overview: Member of Technical Staff, Software Engineer at Fireworks AI

As a core platform engineer, you will bridge the gap between heavy infrastructure and intuitive product surfaces. Rather than simply working through isolated tickets, you will own the design and delivery of end-to-end features that directly impact enterprise customers building on AI.

Key focus areas include:

• Architecting and maintaining scalable backend services for the primary web application.
• Designing robust systems for model orchestration and fine-tuning workloads.
• Developing core enterprise features, including authentication, access controls, billing, and policy enforcement.
• Constructing seamless APIs and developer tools that optimize developer workflows.
• Leveraging modern AI tooling to accelerate development and automate routine tasks.

Candidate Profile and Qualifications

Fireworks AI looks for engineers who think in terms of holistic systems, trade-offs, and tangible customer outcomes. Ideal candidates thrive in fast-paced environments where ownership and rapid execution are prioritized.

• Experience: At least 5 years of hands-on experience building software that solves complex, real-world problems.
• AI Exposure: A minimum of 2 years working with AI systems, such as building on top of foundational models, bots, or agent frameworks.
• Collaborative Mindset: High comfort collaborating closely with cross-functional peers as well as AI-powered development tools.
• Product Sense: A passion for clean abstractions, high reliability, and exceptional developer experience.

Why Fireworks AI?

Founded by the team behind PyTorch and backed by top-tier venture firms, Fireworks AI provides an environment where engineers work on bleeding-edge inference and model serving challenges. You will collaborate with world-class AI researchers and software engineers while enjoying significant autonomy and direct business impact.

Application Tips for AI and Software Engineers

When preparing your application for this software engineering role, ensure your portfolio or resume highlights experience with distributed systems, API architecture, and microservices. Clearly detail your practical work with AI frameworks, model integration, or agentic workflows. Emphasize instances where you balanced system performance with rapid product iteration, as this team prioritizes speed without sacrificing reliability. Be prepared to discuss technical trade-offs you made when designing scalable backend architectures.

Review your application materials carefully and submit before the application window closes on November 10, 2026.