Forward Deployed Engineer (AI)

Location: Remote (US)

Compensation: OTE range $220K–$260K per year, plus equity

Company

hirify.global provides a unified interface for AI inference, enabling developers and organizations to access and route hundreds of models through a single API.

What you will do

• Lead technical onboarding from customer kickoff through production usage.
• Help customers integrate hirify.global into applications, workflows, infrastructure, and developer environments.
• Troubleshoot API, SDK, model selection, routing, latency, reliability, and deployment issues.
• Recommend model, provider, routing, fallback, caching, and cost-optimization strategies.
• Run architecture discussions, integration reviews, technical working sessions, and developer enablement sessions.
• Partner with Customer Success, Sales, Product, and Engineering to improve adoption, retention, expansion, and the implementation experience.

Requirements

• 4+ years of experience in a technical customer-facing role such as Forward Deployed Engineer, Solutions Engineer, Solutions Architect, Technical Account Manager, Developer Advocate, or Customer Engineer.
• Strong software engineering fundamentals and the ability to read, write, and debug production-quality code.
• Experience with APIs, SDKs, cloud infrastructure, developer platforms, or AI/ML infrastructure.
• Familiarity with LLMs, inference, model evaluation, prompt engineering, agents, latency and cost trade-offs, and production AI application patterns.
• Ability to diagnose technical problems and design practical solutions with developers and engineering leaders.
• Excellent written and verbal communication, ownership, initiative, and comfort with ambiguity.

Nice to have

• Experience with OpenAI-compatible APIs, model routing, evaluations, observability, or LLM application frameworks.
• Experience building AI agents, chat products, copilots, automation workflows, or production LLM applications.
• Familiarity with Python, TypeScript, REST APIs, streaming APIs, and backend application architectures.
• Experience with enterprise customers, startups, technical founders, or post-sales engineering.
• Ability to create technical guides, demos, example repositories, migration documentation, or architecture diagrams.

Culture & Benefits

• Fast-moving startup environment with high ownership and a bias for action.
• Hands-on work with developers building AI-native products, agents, internal tools, and production LLM workflows.
• Opportunity to work across customer conversations, code, product feedback, and adoption strategy.
• Equity included in the compensation package.
• 30-, 60-, and 90-day onboarding milestones covering product knowledge, implementation ownership, customer success, and feedback loops.