Deployed Engineer (AI)

TL;DR

Deployed Engineer (AI): Co-architecting and building production AI agents with customer engineering teams, focusing on technical wins in pre-sales and advising customers on architecture and best practices. Focus on solving complex problems in applied AI, shaping how AI agents are built in the real world, and improving customer outcomes.

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, 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 and answering deep technical questions.
• 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.

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.
• Experience designing agent-based or LLM-powered applications, including multi-step workflows, orchestration, and failure handling.
• Comfortable working directly with customers during POCs, architecture reviews, and technical evaluations.
• Ability to explain technical tradeoffs clearly and build trust with developer audiences.
• Take responsibility for outcomes, not just recommendations.

Nice to have

• Experience deploying AI agents in production, especially using hirify.global, LangGraph, or similar frameworks.
• Worked with LLM evaluation, observability, or guardrails.
• 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 including base salary, variable compensation, equity, benefits, and perks.
• Medical, dental, and vision coverage.
• Flexible vacation.
• 401(k) plan and life insurance.
• Locally competitive benefits aligned with regional norms and regulations for team members in the EU, UK, and APAC.