Forward Deployed Engineer (AI)

TL;DR

Forward Deployed Engineer (AI) (AI Engineering): Designing and deploying AI-powered solutions and agentic workflows to connect the platform to customer systems with an accent on production-grade implementations and system integrations. Focus on building reliable AI agents, RAG patterns, and translating customer needs into reusable product patterns.

Location: hirify.global (Global)

Salary: $53,300 – $215,750

Company

hirify.global is a global HR platform that enables businesses to recruit, pay, and manage international teams compliantly.

What you will do

• Partner with customers to conduct technical discovery and define success criteria for AI solutions.
• Design and build AI-enabled integrations, data pipelines, and agentic workflows.
• Own the deployment lifecycle, focusing on reliability, observability, and performance.
• Develop evaluation frameworks, including success metrics and guardrails for AI behavior.
• Collaborate with Product and Engineering teams to turn custom solutions into reusable product features.
• Act as the voice of the field by providing feedback to shape the product strategy.

Requirements

• Experience shipping and owning production-grade backend or full-stack software.
• Strong expertise in APIs, event-driven systems, OAuth, and data modeling.
• Applied AI/LLM experience with RAG, prompt engineering, and reliability practices.
• Ability to operate autonomously in ambiguous environments from problem to solution.
• Strong written communication skills for explaining technical trade-offs.
• Ability to overlap with customer working hours as needed.

Nice to have

• Experience with agent frameworks or workflow orchestration.
• Background in HRIS, payroll, or identity/access management domains.
• Knowledge of multi-tenant SaaS, RBAC, and data privacy by design.
• Experience navigating enterprise security and compliance constraints.

Culture & Benefits

• Work from anywhere with flexible working hours and asynchronous communication.
• Competitive global compensation with stock options and a learning budget.
• Comprehensive parental leave (16 weeks) and mental health support.
• Provision of home office budget and necessary IT equipment.
• Strong life-work balance focused on family and personal needs.

Hiring process

• Recruiter screen and Hiring Manager interview.
• Technical challenge and team interviews.
• Bar Raiser and Executive interviews, followed by employment verification.