Forward Deployed Engineer (FDE) - Intern - 2026-2027

Cybernetic Labs · University

Where: San Francisco
Posted: Jul 15

Netic is the AI revenue engine for essential services who are the backbone of the American economy. With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.

You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.

Our Forward Deployed Engineers are at the heart of building AI that transforms how essential service businesses operate.

What you'd do

Architect agents: Build and ship multi-modal AI agents that drive business impact for essential service companies.
Co‑build with customers: Work directly with enterprise stakeholders to map workflows and deploy our product to unlock immediate revenue lift.
Own end‑to‑end lifecycle: Manage everything from design, to implementation, to rollout, including deployment, measuring success, and iterating with customers.
Ensure scalability: Build reliable systems that support thousands of concurrent interactions with strong performance.
Run rapid experiments: Evaluate cutting‑edge text/voice models, fine‑tune, live A/B test, and iterate within tight feedback loops.
Elevate the platform: Surface patterns and opportunities across customers to inform product and engineering roadmaps.
Production systems: Experience building and maintaining production systems using Python (asyncio, FastAPI) and TypeScript (Node, React).
AI systems: Hands-on experience with LLM, TTS and speech APIs, fine-tuning models, vector databases, RAG, and evaluation frameworks.
Performance focus: Ability to meet SLAs, resolve issues, and optimize systems for speed and reliability at scale.
Scale mindset: Experience building production monitoring and debugging systems across cloud infrastructure and databases.