AI Native Software Engineering Manager

Location: Hybrid in Columbus, Ohio, with three days per week in the office; qualified applicants may also be considered in Tampa, Florida; Atlanta, Georgia; Dallas, Texas; or Houston, Texas. Travel may be required 25%–75% depending on business and client needs.

Annual salary range: $87,400–$253,000 for Ohio; ranges vary by listed U.S. office location.

Company

hirify.global is a global professional services company delivering technology, cloud, data, AI, and digital transformation solutions for businesses, governments, and other organizations.

What you will do

• Design, build, operate, and troubleshoot production systems across front end, APIs, backend services, integrations, data, infrastructure, security, observability, and AI.
• Engineer cloud-native platforms using containers, Kubernetes, serverless and managed cloud services, infrastructure as code, and AWS, Azure, or GCP capabilities.
• Build automated delivery paths covering CI/CD, testing, security scanning, infrastructure deployment, policy enforcement, and release controls.
• Design data and context architectures for transactional, streaming, analytical, unstructured, and AI workloads, including retrieval, embeddings, metadata, and knowledge sources.
• Build production AI and agentic systems with model integrations, tools, memory, planning, human intervention, evaluation, observability, and safeguards.
• Lead multidisciplinary engineering teams, advise senior client technologists, communicate technical trade-offs, and turn delivery lessons into reusable patterns and standards.

Requirements

• At least 8 years of professional software engineering experience building and operating production systems.
• At least 5 years of hands-on experience across multiple layers, including front end or APIs, services, integration, persistence, and asynchronous processing.
• At least 5 years of programming experience in a major language such as Java, Python, Go, TypeScript/JavaScript, or C#.
• At least 3 years of production experience with AWS, Azure, or GCP, including Docker, Kubernetes, and infrastructure as code such as Terraform or Helm.
• At least 3 years designing and operating CI/CD pipelines through production, including automated testing and integrated security controls.
• At least 1 year designing, building, and deploying AI-enabled or agentic systems in production or near-production environments, including model integration, tool use, retrieval, context engineering, orchestration, and evaluation.
• At least 1 year applying AI-native engineering tools and workflows to software development, including code generation, testing, debugging, modernization, and documentation.
• At least 3 years leading engineering teams or significant technical workstreams, including client-facing technical discussions, workshops, or delivery sessions under ambiguity.
• Bachelor’s degree or equivalent minimum 12 years of work experience; an associate’s degree requires at least 6 years of work experience.
• Applicants must have U.S. work authorization that does not now or in the future require visa sponsorship.

Nice to have

• Experience with LangGraph, Crew AI, the Claude Agent SDK, or the OpenAI SDK for multi-agent orchestration.
• Public repositories, portfolios, or open-source contributions featuring self-built agents, tools, or plugins.
• Experience designing multi-provider model abstraction, compound AI systems, orchestration frameworks, agent registries, or stream-based architectures.
• Relevant cloud, security, or AI certifications.
• Experience delivering AI-native solutions across multiple industries or modernizing legacy estates with AI-assisted engineering.
• Experience driving multiple concurrent workstreams while maintaining quality, delivery, and client alignment.

Culture & Benefits

• Work with multidisciplinary experts across software, cloud, platform, security, data, and AI engineering.
• Medical, dental, vision, life, and long-term disability coverage.
• 401(k) plan, bonus opportunities, paid holidays, and paid time off.
• Inclusive workplace with equal employment opportunities and reasonable accommodation support.