Forward Deployment Engineer

What We’re Looking For

• You'll work with open-source and custom models to optimize their deployment for real-world latency, throughput, and cost targets.
• You’ll work side-by-side with leading ML/AI Engineers, sometimes on-site, writing integration code, architecting pipelines, and crafting AI solutions tailored to specific use cases.
• Every customer is different, and every week brings new domains, systems, and technical challenges.
• From CI/CD for models to finely tuned inference endpoints, you’ll solve problems that only emerge in production.
• This role is perfect for entrepreneurial engineers who thrive in zero-to-one environments.
• You’ll design, build, and deploy features across the stack, from front-end interfaces to infrastructure.
• Rapidly experiment to meet evolving customer needs, and help shape the culture, processes, and product roadmap of a fast-moving team.

Required:

• 3+ years of experience in software engineering or AI infrastructure
• Full-stack engineering experience preferred
• Strong engineering fundamentals (Python preferred)
• Experience with cloud-based systems and deploying ML models in production
• Familiarity with LLMs, vector databases, RAG, and fine-tuning concepts
• Product mindset with strong written and verbal communication skills
• Experience working directly with large enterprise customers
• Prior experience at a startup, or background as a founder or solutions engineer is a plus