Corporate AI Engineer

Location: Remote, United States

Salary: $191,000–$285,000 per year, plus potential equity

Company

hirify.global provides an AI Time platform that uses machine learning to automate work-time capture and connect time data to business outcomes for professional services firms.

What you will do

• Design, build, and operate an internal software factory for creating, testing, and publishing AI agents and automated workflows.
• Develop self-service tooling, templates, scaffolding, and AI-specific CI/CD pipelines for secure and auditable releases.
• Build and manage hosting infrastructure for AI-generated web experiences, internal portals, and AI workloads.
• Establish AI guardrails covering model access, data handling, prompt safety, output validation, and responsible usage.
• Own AI infrastructure capabilities including usage dashboards, spend governance, model configuration, API gateways, rate limits, observability, and provider lifecycle management.
• Partner with internal teams, provide technical support and training, and maintain documentation, runbooks, and onboarding guides.

Requirements

• 3–6 years of software engineering experience in a corporate or enterprise environment.
• Hands-on experience with AI ecosystem enablement, including Claude, OpenAI Codex or GPT APIs, AI agent frameworks, or MCP integrations.
• Experience building and operating internal developer platforms, software factories, or CI/CD infrastructure.
• Experience with AWS, Azure, or GCP; Kubernetes or Docker; and Terraform or similar infrastructure-as-code tools.
• Understanding of API gateway patterns, rate limiting, authentication and authorization, OAuth2, API keys, and RBAC.
• Ability to translate security, compliance, and policy requirements into technical controls and explain technical concepts to non-technical stakeholders.

Nice to have

• Experience with Anthropic Claude APIs, Claude.ai Teams or Enterprise, or Claude-powered agents.
• Familiarity with MCP server development and agentic tool-use integrations.
• Experience with AI model lifecycle management, including fine-tuning, evaluation, versioning, and rollback strategies.
• Experience with Datadog, Grafana, or OpenTelemetry for LLM and AI services.
• Previous internal platform or DevOps experience supporting developer communities.

Culture & Benefits

• Equity and a comprehensive employee benefits package.
• Health and wellness programs, paid time off, and retirement planning options including a 401(k).
• Bi-annual in-person company off-sites.
• Collaborative and inclusive work environment focused on meaningful impact and professional growth.
• Visa sponsorship and relocation assistance are not available.