Note: The job is a remote job and is open to candidates in USA. Yara is building an AI-powered platform for finding work and connecting talent with companies. The AI Field Engineer will help customers ranging from AI-native startups to enterprises build on AI infrastructure platforms by designing architectures, unblocking integrations, and supporting the final steps to production.
Responsibilities
- Design the architecture, unblock the integration, and carry them the last mile to production
Skills
- You are an engineer who likes customers
- 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
- 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
- Links to anything you've built with models that real people used
- You work well remotely: clear writing, fast follow-through, and comfort with travel to customers
- Based in the US, with willingness to travel
Benefits
- Remote work across the US
- Use your Yara to list your work, browse millions of roles, manage your job search, and stay in the Yara network for future opportunities
Company Overview