Forward Deployed AI Engineer

Location: United States (Remote)

Base compensation: $135,000–$155,000 USD annually, depending on experience, skills, location, and internal equity.

Company

hirify.global is an international AI and data consulting group with over 30 years of experience and 3,000 experts across 30 countries, helping organizations industrialize AI and embed intelligence into business processes.

What you will do

• Lead technical discovery with clients across systems, data, workflows, and integration requirements.
• Translate business needs and approved architectures into practical implementation plans.
• Develop and deploy production-ready solutions integrating APIs, enterprise applications, cloud services, data platforms, and AI technologies.
• Collaborate with AI Engineers, Architects, Data Engineers, client teams, and business stakeholders to resolve technical challenges.
• Own deployment and rollout, troubleshoot production issues, support adoption, and monitor performance, costs, and business outcomes.
• Document reusable integration patterns, deployment practices, and implementation guidance for future engagements.

Requirements

• 5+ years of professional experience in software engineering, cloud engineering, enterprise integration, or related technical delivery roles.
• Hands-on experience developing, integrating, and deploying production software or AI-enabled solutions.
• Experience building and maintaining backend services, APIs, and enterprise integrations.
• Experience with cloud platforms, deployment processes, and production environments.
• Ability to translate business requirements into technical implementation plans and communicate technical decisions to business stakeholders.
• Strong programming skills in Python, TypeScript/JavaScript, Java, C#, or similar languages.
• Experience with REST APIs, backend services, authentication, enterprise integrations, and at least one of AWS, Azure, or Google Cloud.
• Knowledge of Git, CI/CD, testing, containers, production monitoring, application security, system reliability, and cloud deployment practices.
• Familiarity with LLM APIs, RAG, AI agents, and GenAI application integration, plus strong client-facing consulting, communication, problem-solving, and collaboration skills.

Nice to have

• Production GenAI applications or agentic workflows.
• LangGraph, MCP, OpenAI, Anthropic, or similar technologies.
• Kubernetes, Docker, or infrastructure as code.
• Backend, full-stack, data, or cloud engineering background.
• Experience in regulated or complex enterprise environments.
• Consulting, professional services, or client-embedded engineering experience.

Culture & Benefits

• Permanent, full-time employment in a fully remote United States role.
• Health insurance for the employee and family members, a 401K plan, and a monthly wellness allowance.
• Four weeks of paid vacation.
• Language courses in French and English.
• Continuing education through in-house programs, conferences, events, courses, and certifications.
• Innovation and entrepreneurship culture with regular employee-organized social events.