Deployed Engineer (AI)

TL;DR

Deployed Engineer (AI): Co-architecting and co-building production AI agents with customer engineering teams with an accent on turning ideas and prototypes into systems teams can rely on. Focus on operating AI agents in production, not just building demos.

Location: Atlanta

Salary: $150,000–$250,000 USD

Company

hirify.global's mission is to make intelligent agents ubiquitous by building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents.

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.
• Designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling.
• 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

• 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.
• 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.
• Medical, dental, and vision coverage.
• Flexible vacation.
• 401(k) plan.
• Life insurance.