AI Field Engineer

About Yara

Yara is building the future of finding work. Most hiring tools are stuck in the 90s and AI is making it worse, not better. More spam, more noise, more generic outreach that wastes everyone's time. We're reworking how people find their next role with one profile that actually shows your work, smart matching that puts you in front of the right companies, and a real person on the other side who cares about getting it right.

We work with companies across AI, developer tools, consumer, fintech, and health tech, ranging from teams that have raised $1B+ with 3,000+ employees to earlier stage companies at $50M+ with 100+ employees. We've helped talent from Google, Apple, Palantir, Uber, and Ramp connect with companies like Vercel, Paraform, Abridge, and Parallel.

About this role

AI infrastructure companies in the Yara Network are hiring field and solutions engineers remotely across the US, and they are hiring in volume: one team alone has sixteen open seats and more than fifty candidates in interviews. The job is to help customers, from AI-native startups to enterprises, build on the platform: design the architecture, unblock the integration, and carry them the last mile to production.

Who this is for

• You are an engineer who likes customers. You'd rather solve a real integration problem than groom a backlog.
• You've built with LLMs beyond the demo stage: inference, fine-tuning, RAG, evals, latency, cost.
• You can hold a technical conversation with a customer's CTO and then go write the code that proves the point.
• You work well remotely: clear writing, fast follow-through, and comfort with travel to customers.
• You want to be at a company defining this wave, on the side of the house that sees every customer.

You may be a good fit if you have

• 3+ years in software engineering, solutions engineering, or ML engineering
• Python or TypeScript, plus real experience with LLM serving, fine-tuning, or agent frameworks
• A customer-facing chapter: solutions, forward deployed, consulting, or founding-engineer-who-did-sales
• Comfort with cloud infrastructure and the ways production deployments actually fail
• Based in the US, with willingness to travel
• Links to anything you've built with models that real people used

If we don't move forward together, you can still use your Yara to list your work, browse millions of roles, manage your job search, and stay in our network for when something new comes up.

• This is a Yara Network Application. Apply once and get matched across our partner companies.