Software Engineer III, Applied Agentic AI

Location: Remote in Argentina

Company

hirify.global provides human- and agent-centric cybersecurity solutions that protect people, data, and AI agents across email, cloud, and collaboration tools.

What you will do

• Build reference agentic applications on the agentic AI platform, covering agent design, evaluation, deployment, and monitoring.
• Establish best practices for tool design, MCP integration, prompt and context management, memory, planning, failure recovery, and release readiness.
• Design evaluation harnesses with task suites, baselines, and quality, cost, and latency metrics.
• Develop prototypes to answer ambiguous technical questions, present findings, and recommend whether approaches should be adopted or abandoned.
• Harden successful prototypes into reusable platform capabilities for product teams.
• Collaborate with engineers, security researchers, and product technology leads; share patterns through demos, design reviews, guides, and pairing sessions.

Requirements

• Bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience.
• At least 3 years of engineering experience, including recent hands-on work with LLM or agentic systems beyond the prototype stage.
• Understanding of agent runtimes, tool and MCP integration, prompt and context management, memory, planning, orchestration, evaluations, tracing, guardrails, and rollout and rollback.
• Strong Python skills; experience with cloud microservices, containers, CI/CD, and automated deployment.
• Ability to diagnose distributed systems using traces and metrics and collaborate with globally distributed teams.
• Practical experience with agent frameworks or LLM SDKs such as LangGraph, Anthropic or OpenAI Agents SDK, MCP, or LangChain, plus a strong bias toward shipping.

Nice to have

• TypeScript or Node.js, AWS, and OpenTelemetry with GenAI semantic conventions.
• AI coding tools such as Claude Code or Codex and interoperability protocols such as MCP or A2A.
• Evaluation harnesses, benchmarks, ground-truth datasets, developer-facing reference implementations, SDK samples, or internal enablement materials.
• Augmented generation and semantic retrieval, including vector stores, hybrid search, hosted APIs, and open-weight models.

Culture & Benefits

• Flexible work environment and global collaboration opportunities.
• Competitive compensation and comprehensive benefits.
• Career development and recognition for contributions.
• Annual wellness and community outreach days.
• Inclusive culture that welcomes diverse backgrounds, experiences, and perspectives.

Hiring process

• Submit an application with any supporting information.
• Accommodation is available during the application or interview process upon request.