Skip to content
VercelVercelSan Francisco, CA

Software Engineer, AI Gateway

Develop and enhance the AI Gateway platform, building unified APIs for AI models with rate limiting, failovers, and integrations. Requires 5+ years experience in JavaScript/TypeScript, backend, and distributed systems.

196k – 294k/yr
Hybrid5+ YOEML Engineering

About the role

What You Will Do

  • Contribute to the design, implementation, and maintenance of the AI Gateway platform, emphasizing features like unified API endpoints, rate limit management, and intelligent failover mechanisms to boost uptime and reliability.
  • Write clean, efficient, and well-documented code, conducting thorough testing to ensure low-latency responses and stability for high-volume AI inference requests.
  • Collaborate with cross-functional teams, including product managers, AI researchers, and infrastructure engineers, to integrate new AI providers and models while addressing scalability and performance challenges.
  • Engage with the open-source community, contribute to AI SDK and related projects, and align with Vercel's ethos of fostering developer tools.
  • Gather user feedback and analytics to drive innovations in AI Gateway, such as enhanced billing unification, provider-agnostic authentication, and analytics for usage insights.

About You

  • You have at least 5+ years of relevant experience
  • Strong proficiency in JavaScript/TypeScript and experience with backend development, APIs, and cloud infrastructure
  • Experience with AI/ML integrations, API gateways, distributed systems, or handling high-throughput services (e.g., rate limiting, caching, failovers)
  • Experience contributing to or participating in open source projects
  • Excellent communication skills and the ability to work effectively in a collaborative team environment

Benefits

  • Competitive compensation package, including equity.
  • Inclusive Healthcare Package.
  • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
  • Flexible Time Off.
  • We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

San Francisco, CA base pay range: $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location.

Skills

JavaScriptTypeScriptAi/Ml IntegrationsApi GatewaysDistributed SystemsRate LimitingCachingFailoversOpenAIAnthropic

Similar roles

ML Engineering jobs
Otter

Machine Learning Engineer

OtterMountain View, CA

Lead projects building and deploying large-scale ASR/NLP/LLM systems for meeting intelligence. Architect training, fine-tuning, and inference pipelines using PyTorch/JAX and own ML systems from research to production.

196k – 221k/yr
Hybrid3+ YOEML Engineering
Vercel

Software Engineer, AI SDK

VercelSan Francisco, CA +1

Develop and enhance TypeScript-based AI SDK for building AI-native products and agents. Collaborate with distributed engineering team; requires 5+ years experience in JavaScript/TypeScript and open source contributions.

196k – 294k/yr
Hybrid5+ YOEML Engineering
Eve

AI Engineer

EveSan Mateo, CA

Build and deploy AI systems for legal workflows, fine-tuning models on domain-specific data, advancing reasoning capabilities, and integrating with product features. Requires Bachelor's/Master's in ML/AI/CS and proven production ML experience.

195k – 300k/yr
HybridML Engineering
OpenAI

AI Deployment Engineer- Codex

OpenAISan Francisco, CA

Partners with customers to design, prototype, and scale AI-enhanced coding workflows using OpenAI Codex. Serves as technical expert, leads workshops, builds demos, and influences product direction. Requires 5+ years in technical consulting or solutions engineering.

197k – 278k/yr
On-site5+ YOEML Engineering
Console

Research Engineer

ConsoleSan Francisco, CA

Research Engineer building self-improving AI agent systems at Console. Develop eval/optimization loops, fine-tune specialist models, and improve agent reasoning over enterprise context using production data to drive measurable gains in quality, latency, and reliability.

200k – 350k/yr
On-siteML Engineering