AI Engineer

Location: U.S.-remote

Company

hirify.global delivers unified communications as a service and enterprise voice solutions for Microsoft Teams to enterprises and service providers worldwide.

What you will do

• Build, test, and maintain AI applications, cloud services, and supporting infrastructure for Nebula.
• Translate Jira issues and product requirements into scoped technical changes with clear acceptance criteria.
• Develop and debug Python services and contribute to TypeScript applications.
• Operate workloads across AWS and Azure, including serverless, container, identity, data, and observability services.
• Work with retrieval-augmented generation, GraphRAG, vector search, graph databases, and agent workflows.
• Participate in production support, incident response, and occasional after-hours on-call work.

Requirements

• Strong software engineering fundamentals and working fluency in Python, including reading, debugging, and reviewing unfamiliar code.
• Hands-on experience with at least one major cloud platform, preferably AWS or Azure.
• Practical experience with AI coding tools such as Claude Code, Codex, Cursor, or similar agentic tools.
• Sound Git, testing, deployment, source-control, review, release, and rollback practices.
• Ability to turn goals into plans, identify blockers, carry work through verification, and communicate clearly with technical and nontechnical partners.
• Availability for some on-call work, including weekends or holidays, when required.

Nice to have

• Experience with LangGraph, LangChain, RAG or GraphRAG systems, vector search, or graph databases.
• Experience with Terraform, OpenTofu, or another infrastructure-as-code framework.
• Experience building on Microsoft 365 or Teams, including Microsoft Graph, Teams apps, or Microsoft Entra ID.
• Exposure to multi-agent orchestration, internal agent tooling, security-minded engineering, or ISO/IEC 42001 management systems.
• Experience with TypeScript, containerized services, serverless systems, or distributed systems.

Culture & Benefits

• Work on an AI-first engineering system with direct mentorship from the Director of AI Infrastructure.
• Use AI coding agents as part of the daily engineering workflow while maintaining accountability for design, correctness, security, testing, and operations.
• Opportunity to take ownership of significant Nebula workstreams as experience grows.
• Remote work with the equipment and internet connection required for the role.