Fireworks AI

Software Engineer focused on Performance Optimization for AI infrastructure, optimizing speed and efficiency across the stack for LLMs, VLMs, and video models. Responsibilities include low-level GPU kernel optimization, distributed systems scaling, and performance analysis for training and inference.

Solutions Architect role focused on customer engagement, technical sales, and solution design for generative AI infrastructure, specifically LLM inference and fine-tuning. The role involves understanding customer needs, designing AI solutions using the Fireworks platform, executing Proofs of Concept (POCs), and providing performance engineering and model recommendations. It requires strong technical depth in the LLM stack and customer-facing skills, with two tracks: Enterprise SA and Applied AI SA.

Software Engineer on the AI Infrastructure team at Fireworks AI, focusing on designing and building core systems for their generative AI platform, including infrastructure for distributed training, inference, data pipelines, CI/CD, control plane, and model serving. The role emphasizes reliability, performance, and quality of the AI system, bridging customer needs with the inference engine.

Applied Machine Learning Engineer role focused on developing, fine-tuning, and operationalizing ML models for customer applications and internal platform features. Involves customer collaboration, PoCs, application building, model enablement, and performance optimization.

The role focuses on designing, building, and optimizing the infrastructure for large-scale model training operations, including distributed training pipelines, performance optimization, and data storage solutions for LLMs and multimodal models.

This role is for a backend software engineer focused on building the core infrastructure for a generative AI platform, including web applications, model orchestration, billing, APIs, and developer tooling. The role emphasizes platform engineering with product impact, working closely with various teams to ship end-to-end features and improve system reliability and performance. Experience with AI systems and a desire to build products in the AI space are required.

Software Engineer on the Cloud Infrastructure team responsible for architecting and building foundational systems for a generative AI platform, focusing on serving AI workloads globally with high reliability, efficiency, and scalability. The role requires deep expertise in distributed systems, cloud-native infrastructure, and ML platforms, with responsibilities including designing and implementing backend services, optimizing infrastructure, and collaborating with ML and product teams.

The IT Engineer role at Fireworks AI focuses on providing technical support, automating IT processes, and resolving issues for employees within a fast-paced AI company. The role involves handling support requests, investigating technical problems, contributing to a knowledge base, and exploring automation opportunities, including the use of AI tools. While the company builds AI infrastructure, this role is primarily IT support and operations, not direct AI/ML model development or deployment.

This role focuses on building and evolving the end-to-end billing, revenue, and business data pipeline, with a future phase involving the design and deployment of AI-enabled workflow agents for automation in revenue operations. The primary focus is on the data infrastructure for financial operations, with a secondary focus on AI agent development.

Senior GTM Recruiter for an AI infrastructure company, focusing on building Go-To-Market teams (Sales, Marketing, Partnerships). The role involves full-cycle recruiting, strategic partnership with GTM leaders, proactive sourcing using AI tools, and championing AI-native recruiting practices. Experience with AI recruiting tools and scaling GTM teams in AI/infrastructure is preferred.

Security Engineer role focused on designing, implementing, and operating security controls for AI infrastructure, AI platforms, and internal systems. Responsibilities include protecting customer data and models, performing security reviews of cloud-native architectures, embedding security into CI/CD pipelines, developing in-house security tooling, managing vulnerability programs, and operating security operations. Requires experience with Python/Go, cloud-native architectures (GCP), Kubernetes, and security tooling.

This role is a Technical Support & Community Engineer for an AI infrastructure company. The primary responsibilities include handling customer support requests, managing the developer community, troubleshooting technical issues by investigating logs and internal tooling, and triaging product issues to the engineering team. The role also involves identifying sales and product opportunities and contributing to a knowledge base. While the role interacts with AI infrastructure and may use AI tools for automation, its core function is support and community management, not building or researching AI models.

This role focuses on managing and ensuring the reliability, performance, and efficiency of a large-scale virtual AI cloud infrastructure, including GPU clusters. It involves system reliability, incident management, observability, automation, capacity planning, and performance tuning, with a strong emphasis on SRE principles and cloud platforms.

This role is for a Technical Developer Advocate at Fireworks AI, a company focused on generative AI infrastructure and inference. The primary responsibilities include community engagement, technical evangelism, content creation, and gathering developer feedback to influence product development. The role requires strong technical proficiency in programming and familiarity with AI/ML concepts, along with excellent communication skills. While the company works with AI, the role itself is focused on developer relations and advocacy, not direct AI/ML model development or research.

Executive Assistant to support the senior leadership team at an AI company. Responsibilities include calendar management, communication, meeting support, travel coordination, confidential support, project management, and liaison role. Requires strong organizational, communication, and interpersonal skills, with familiarity with AI tools or workflow automation preferred.

Senior Recruiter to partner with hiring managers and cross-functional teams to lead full-cycle recruitment for Engineering, Product, Marketing, and Sales roles, shaping hiring strategy, enhancing candidate experience, and building talent pipelines for a Series C AI company.