Forward Deployed Engineer

Posted 2 Days Ago
San Francisco, CA, USA
In-Office
Junior
Artificial Intelligence • Machine Learning • Software
The AI revenue engine for essential service industries that keep America running.
The Role
Build and deploy multimodal AI agents for essential service businesses. Partner with enterprise customers to map workflows, implement solutions, manage rollouts, measure outcomes, and iterate rapidly. Develop scalable, reliable systems supporting thousands of concurrent interactions; evaluate and fine-tune language and speech models, run experiments, optimize performance, and contribute insights to product and engineering roadmaps.
Summary Generated by Built In

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 Agent Engineers are at the heart of building AI that transforms how essential services businesses operate. This role combines cutting-edge AI development with real-world impact, creating systems that handle complex business operations autonomously.

What You’ll 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, A/B test live, and iterate in tight feedback loops.

  • Elevate the platform: Surface patterns and opportunities across customers to inform product and engineering roadmaps.

What You’ll Bring:

  • Production experience: 2+ years building and maintaining production systems using Python (asyncio, FastAPI) and TypeScript (Node, React).

  • AI systems expertise: 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.

  • Customer obsession: Comfortable engaging directly with customers to troubleshoot issues, understand edge cases, and deliver fast solutions.

What brings us together is our commitment to:

  • Live to build

  • Run through walls and win

  • Obsess over customers in each line of code

  • Lose sleep over the "almost perfect"

  • Show internal locus of control

  • Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

Skills Required

  • 2+ years building and maintaining production systems
  • Production experience with Python, including asyncio and FastAPI
  • Production experience with TypeScript, Node.js, and React
  • Hands-on experience with LLMs, TTS, and speech APIs
  • Experience fine-tuning models, using vector databases, RAG, and evaluation frameworks
  • Ability to meet SLAs and optimize systems for speed, reliability, and scale
  • Experience building production monitoring and debugging systems across cloud infrastructure and databases
  • Comfort engaging directly with customers to troubleshoot issues, understand edge cases, and deliver solutions
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The Company
HQ: San Francisco, CA
18 Employees
Year Founded: 2023

What We Do

We help essential service industries grow on autopilot. Essential services power the real economy. Every one of us interacts with these industries repeatedly throughout our lives. But these large businesses face real-world constraints—human labor, external volatility, compliance, logistics, and physical infrastructure. Their operations are complex and often rely on outdated systems and manual workflows, and they can’t access the frontier technologies that drive digital-first businesses. In a world where startups mostly build for startups, we serve the large enterprises in real industries and end users that keep America running. We're a small team of relentless builders, ex-founders, and immigrants from top CS schools and tech companies who thrive on solving hard problems and making a tangible impact. We are backed by the best investors and founders of our generation.

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