Deployed Engineer (AI)

TL;DR

Deployed Engineer (AI): Co-architecting and co-building production AI agents with customer engineering teams with an accent on designing POCs, answering deep technical questions, and guiding evaluations. Focus on helping customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows.

Location: Onsite in Seattle, WA

Salary: $150,000–$250,000 USD

Company

hirify.global's mission is to make intelligent agents ubiquitous, building the foundation for agent engineering in the real world.

What you will do

• Co-architect and co-build production AI agents with customer engineering teams.
• Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations.
• Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows.
• Advise customers post-sale on architecture, best practices, and roadmap-level decisions.
• Run technical demos, trainings, and workshops for developer audiences.
• Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers.

Requirements

• 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up.
• Strong Python, JavaScript and systems fundamentals.
• Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling.
• Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations.
• Can explain technical tradeoffs clearly and build trust with developer audiences.
• Take responsibility for outcomes, not just recommendations.

Nice to have

• You’ve deployed AI agents in production, especially using hirify.global, LangGraph, or similar frameworks.
• Worked with LLM evaluation, observability, or guardrails.
• Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts.
• Have shipped and operated production software and are comfortable owning systems under real-world constraints.

Culture & Benefits

• Competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
• Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
• Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.