Software Engineer - AI (Agentic AI)

Location: Hybrid in Mexico City, Mexico

Company

hirify.global provides specialized software, trusted content, and insights for legal, tax, accounting, compliance, government, and media professionals across more than 70 countries.

What you will do

• Build and ship AI agentic features end to end, from requirements and design through implementation, review, and production.
• Design backend services with Python, FastAPI, and PostgreSQL for real-time AI interactions and large-scale data flows.
• Integrate LLM providers such as OpenAI and Anthropic, implementing orchestration, routing, error handling, guardrails, telemetry, and observability.
• Strengthen CI/CD pipelines, DevOps automation, automated testing, and cloud-native development workflows.
• Diagnose production issues, perform root-cause analysis, and improve system reliability and code quality.
• Collaborate with Product, Design, Labs, and cross-functional teams while contributing to design discussions and agile ceremonies.

Requirements

• 1–3+ years of professional software development experience.
• Working knowledge of Python and experience with AWS, Azure, or GCP cloud services.
• Solid understanding of RESTful API design, distributed systems, and microservices architecture.
• Experience with SQL and NoSQL databases.
• Excellent debugging skills and the ability to deliver production-ready, highly reliable systems.
• Strong cross-functional communication skills and comfort working in fast-paced, iterative environments.
• Evidence of fast learning, including a specific example of something self-taught and shipped.

Nice to have

• BA or BS in Computer Science or equivalent practical experience.
• Backend performance optimization experience, including monitoring, profiling, and tuning for scale.
• Experience building AI-powered features, especially agentic workflows, multi-step reasoning, tool and API orchestration, LLM APIs, RAG pipelines, Claude Agent SDK, or AgentCore.
• Experience with Agentic UI, SSE/AG-UI streaming semantics, TypeScript, or React.
• Experience with Datadog, CloudWatch Log Insights, or Braintrust.
• Familiarity with vector databases, model serving, and LLM cost and latency optimization.
• Experience with testing, automation, operational robustness, or products for legal, compliance, or other regulated professional domains.

Culture & Benefits

• Flexible hybrid work environment for office-based roles.
• Work from anywhere for up to 8 weeks per year, alongside flexible work arrangements.
• Career development through continuous learning, skills-first programs, and Grow My Way programming.
• Benefits include flexible vacation, two company-wide Mental Health Days, Headspace access, retirement savings, tuition reimbursement, incentive programs, and wellbeing resources.
• Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.
• Culture focused on customer impact, fast learning, inclusion, belonging, work-life balance, and collaboration.