Job description
Forward Deployed Engineer (AI Infrastructure)
$80,000 - $120,000 + Benefits + PTO
San Francisco, CA - Onsite (6 days/week)
Are you an engineer who loves solving complex, real-world problems directly with customers? Do you want to work hands-on deploying cutting-edge AI infrastructure used by developers and enterprises around the world, whilst continuing to develop both your technical and client-facing skillsets.
This is a rare opportunity to join a profitable, fast-growing AI startup at the heart of the LLM ecosystem. The team is building a unified platform that lets developers call any large language model - from OpenAI and Anthropic to Mistral and Hugging Face - through a single, standardized API. The SDK eliminates vendor lock-in, supports caching, logging, streaming, and integrates seamlessly with frameworks like LangChain and LlamaIndex.
Founded in 2023 and already profitable with $2.5M ARR (targeting $10M by mid-2026), the company is looking for its first Forward Deployed Engineer. someone who thrives at the intersection of customer success, engineering, and systems design. You'll work closely with customers to deploy, optimize, and troubleshoot the platform in production environments while shaping the product roadmap based on real-world insights.
You'll report directly to the CTO and operate as a key technical partner to clients, ensuring smooth integrations, rapid debugging, and performance tuning across infrastructure, backend, and frontend layers. Expect deep technical ownership, customer-facing impact, and the chance to build the foundation of a company defining AI interoperability.
If you want to join a tight-knit, high-caliber team where your code and customer instincts both matter, whilst continuing to develop your skillsets
The Role
- Deploy, configure, and optimize customer environments for reliability, performance, and scalability.
- Troubleshoot and resolve complex full-stack issues across infrastructure, backend (FastAPI/Python), and frontend (React/Next.js).
- Collaborate directly with customer engineering teams on implementations, migrations, and custom integrations.
- Act as the technical voice of the customer - building tools, contributing fixes, and feeding insights back to product and engineering.
The Person
- 1-2 years of experience with production-grade full-stack systems.
- Strong in Python and FastAPI; React/Next.js and TypeScript familiarity a plus.
- Hands-on problem solver who enjoys debugging, building, and iterating directly with users.
- Strong communicator who thrives in dynamic, customer-facing environments.
- Excited to work in an early-stage, high-autonomy and feedback focused culture.
- Happy to work on-site in San Francisco
