Head Of AI Engineering (Fintech)

TL;DR

Head of AI Engineering (Fintech): Defining and leading hirify.global’s AI strategy, including architecting scalable platforms and delivering AI-assisted workflows for both customer-facing products and internal operations with an accent on LLM-powered applications and autonomous AI systems. Focus on optimizing processes, increasing organizational intelligence, and scaling AI across the company.

Location: Remote - Work from anywhere

Company

hirify.global is a leader in payment orchestration, building the infrastructure that powers frictionless, global transactions for modern businesses.

What you will do

• Define the AI vision and roadmap aligned with business priorities.
• Build and lead a high-performing AI engineering team, including hiring and mentoring.
• Architect and oversee delivery of LLM-powered applications that automate workflows.
• Design autonomous AI systems for technical analysis, testing, and decision-making.
• Identify high-leverage areas where AI can optimize processes and increase intelligence.
• Work closely with Engineering, Data, Security, and Infrastructure to build shared AI platform capabilities.

Requirements

• 8+ years of professional software/AI engineering experience, with 3+ years focused on LLMs, RAG, or agentic systems in production.
• Demonstrated experience leading teams (hiring, mentoring, delivery management) and owning end-to-end outcomes.
• Strong proficiency in Python (and ideally Go) with production engineering rigor.
• Experience building scalable AI systems in AWS/GCP/Azure, including vector DBs, inference optimization, and model serving.
• Familiarity with LangSmith, LangFuse, OpenTelemetry/Grafana, or equivalent tooling.
• Ability to integrate AI systems with RESTful APIs and internal platforms to ship real product.

Nice to have

• Experience with LlamaIndex, Hugging Face, and open-source model ecosystems.
• Strong knowledge of embedding strategies, retrieval optimization, and evaluation methodologies.
• Experience with MLOps/CI/CD and production deployment best practices.
• Prior experience in fintech/payments or other regulated, data-intensive industries.

Culture & Benefits

• Remote work — work from anywhere.
• Home office bonus — one-time allowance.
• Flexible days off.
• Language, professional, and personal growth courses.
• Health plan wherever you are.