Staff AI Engineer

Location: Remote; benefits and employment references cover the US and EU.

Salary: $200,000–$240,000 annually, plus equity and benefits.

Company

hirify.global operates AI agents in production to test real customer applications in the cybersecurity and pentesting industry.

What you will do

• Set technical direction for agent systems, including orchestration, tool use, context and memory management, human oversight, and failure recovery.
• Design, build, and operate shared foundations for evaluations, observability, tracing, execution controls, model access, routing, and failover.
• Establish evaluation practices for task completion, accuracy, false positives, security, and cost per successful task; convert production failures into regression tests.
• Build resilient workflows with controlled retries, runtime, spend, timeout, rate-limit, and partial-execution handling.
• Partner with security and platform teams on scoped permissions, customer data isolation, audit trails, and safe execution of tools and code.
• Lead model selection and cost optimization, improve production readiness and reliability, support AI coding agent adoption, and mentor engineers and technical leads.

Requirements

• 8–10+ years of significant software engineering experience with technical leadership across teams.
• Hands-on experience building and operating LLM-based agents in production, including understanding of scale, constraints, and business outcomes.
• Experience improving agent reliability through evaluations, investigation of non-deterministic failures, and measurable success-rate improvements.
• Strong knowledge of agent architectures, including tool use, orchestration, planning, context and memory management, and choosing simpler workflows when appropriate.
• Experience running LLM workloads through managed cloud model platforms or direct provider APIs, including rate limits, failure handling, and cost tracking.
• Strong backend and distributed systems fundamentals, including APIs, asynchronous workflows, concurrency, and fault tolerance.
• Experience with production observability, incident investigation, and safe rollout of system changes.
• Understanding of agent security risks, including prompt injection, unsafe tool execution, and sensitive-data exposure.
• Evidence of impact beyond personal code through shared platforms, improved standards, or engineer development.
• Experience with agent orchestration, tool calling, structured outputs, MCP, APIs, permission-controlled tool execution, automated evaluation harnesses, domain-specific datasets, CI regression testing, distributed tracing, structured logs, metrics, managed model platforms, provider APIs, or multi-provider gateways.

Nice to have

• Experience with GCP, Go, or Kubernetes.
• Experience building sandboxed environments for agents executing untrusted code or interacting with external systems.
• Offensive security, application security, or security tooling experience.
• Experience introducing AI coding tools across engineering teams and measuring their impact.
• Public writing, talks, or open-source contributions related to agent engineering.

Culture & Benefits

• Work in a rapidly expanding pentesting industry with experienced senior leaders and ongoing mentorship.
• Competitive compensation and an equity plan.
• 401(k) program in the US or pension in the EU.
• Medical, dental, vision, and life insurance in the US or statutory healthcare in the EU.
• Wellness, work-from-home equipment and Wi-Fi, and learning and development stipends.
• Flexible paid time off and paid parental leave.