Yara AI
Posted 31 days agoVerified live 2d ago
AI Field Engineer (Solutions)
Brief overview
Remote
$175k–$230k/yrStated range
3+ yrsMinimum
Large Language Models (LLMs)LLM Inference ServingLLM Fine-TuningRetrieval-Augmented Generation (RAG)LLM EvaluationLLM Latency OptimizationLLM Cost OptimizationPythonTypeScriptLLM Agent FrameworksCloud InfrastructureProduction DeploymentCustomer-Facing Communication
About the company
Yara AIyara.so
Yara is an AI agent that runs your job search for you. It's like having a recruiter by your side.
Job description
Summary
Yara AI is building an AI-powered platform to improve how people find work and connect with companies. The AI Field Engineer will help customers build on AI infrastructure platforms by designing architectures, resolving integrations, and supporting deployments through production. The role combines customer-facing technical work with hands-on coding and requires experience with LLMs, cloud infrastructure, and production systems.
Responsibilities
- 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
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
- • You work well remotely: clear writing, fast follow-through, and comfort with travel to customers
- • 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
Qualifications
Must Haves
- • 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
- • You work well remotely: clear writing, fast follow-through, and comfort with travel to customers
- • 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
Benefits
- Remote work across the US
- Willingness to travel to customers
- 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