Senior AI Engineer (Fintech)

Location: Argentina, Mexico, Colombia, or Brazil. Currently fully remote, with a future transition to a hybrid setup.

Company

hirify.global is building an AI-powered conversational financial companion and real-time infrastructure for cross-border money movement, expanding into credit, savings, and wallet services for Latino immigrants in the United States.

What you will do

• Partner with Ops leadership to turn operational friction into AI-assisted workflows, including predictive triggers, LLM categorization, decision automation, and alert systems.
• Architect, ship, and maintain stateful production AI agents that call tools, move cases between queues, and retain state across case lifecycles.
• Integrate agents into CX, compliance, hold-queue, and transaction systems, owning containerization, CI/CD deployment, and post-launch stability.
• Build LLMOps observability and advanced evaluation pipelines covering reasoning traces, tool-call trajectories, safety, groundedness, and business outcomes.
• Optimize RAG pipelines and agent loops through caching, prompt compression, and model routing.
• Define autonomy boundaries, confidence thresholds, escalation paths, approval gates, and audit trails while mentoring junior engineers.

Requirements

• 5+ years of hands-on software engineering experience, including at least 2 years building and deploying production-grade AI/ML applications focused on LLMs or generative AI.
• Mandatory expertise in Python and deep familiarity with at least one LLM API or framework, such as the OpenAI SDK, Google AI SDK, CrewAI, or LangChain.
• Proven experience shipping production AI agents that take actions, including tool calling, multi-step orchestration, state management, human-in-the-loop escalation, guardrails, and failure handling.
• Strong understanding of software development practices, Git/GitHub, and CI/CD pipelines.
• Ability to translate ambiguous operational briefs into testable hypotheses, clarify success metrics, and evaluate technical trade-offs through experiments.
• Ability to convert high-level business needs into concrete, maintainable, and well-tested code.
• Experience building AI for CX, support, compliance, or other operations teams.
• Equivalent competencies in the listed areas will also be considered.

Nice to have

• Experience with RAG and vector databases.
• Personal projects or demonstrable GitHub contributions.
• Familiarity with operational metrics such as AHT, FCR, CSAT, and SLA.

Culture & Benefits

• Fully remote work currently, with a future transition to a hybrid setup.
• Competitive salary, initial stock options grant, and annual performance bonus.
• Unlimited PTO and paid parental leave.
• Health, dental, and vision plans.
• Continuous learning opportunities and growth in an entrepreneurial environment.