Lead AI Forward Engineer (AI)

Location: Hybrid, Mexico City, Mexico

Company

hirify.global provides trusted content, specialized software, data, intelligence, and technology for professionals and institutions across legal, tax, accounting, compliance, government, and media.

What you will do

• Identify high-impact opportunities for AI automation and intelligent agents across CIO technology teams.
• Design end-to-end AI architectures, including workflows, integrations, data flows, reliability, security, compliance, and operational requirements.
• Guide prototypes into production and define reusable architectural patterns and reference designs.
• Build inference and workflow telemetry pipelines, dashboards, reports, observability integrations, automated guardrails, and policy enforcement.
• Evaluate AI/ML platforms, LLM orchestration, agentic frameworks, and cloud AI services based on capability, cost, risk, and fit.
• Partner with engineering, Product, Data Science, AI, Cloud, security, and SRE teams; communicate trade-offs and mentor engineers.

Requirements

• 6+ years of experience with progression in solution architecture, technical strategy, or senior engineering roles.
• Experience building software prototypes and taking solutions to production in ambiguous, low-precedent environments.
• Strong end-to-end solution design and architecture skills, including integration patterns, API thinking, and operational design.
• Working knowledge of AI/ML and LLM application patterns, including LLM capabilities and limitations, prompt design, orchestration, agent workflows, RAG, context windows, hallucinations, and provider variability.
• Familiarity with LLM frameworks and patterns such as LangChain and LlamaIndex, RAG/vector search concepts, and enterprise integrations.
• Proficiency in Python is strongly preferred, with the ability to prototype and validate designs through hands-on technical work.
• Cloud architecture familiarity in AWS, Azure, or GCP, including common service patterns and enterprise constraints.
• Knowledge of distributed systems, microservices, CI/CD, cloud-native architectures, DevOps, Platform Engineering, SRE, and operational excellence.
• Exposure to enterprise service management such as ServiceNow/ITSM, security architecture, and compliance-oriented environments.
• Strong communication skills and demonstrated technical leadership through mentoring, architectural governance, or cross-team enablement.

Nice to have

• Hands-on experience with Python for prototyping and design validation.
• Experience with LangChain, LlamaIndex, RAG, and vector search.

Culture & Benefits

• Flexible hybrid working environment for office-based roles.
• Work from anywhere for up to 8 weeks per year as part of flexible work arrangements.
• Flexible vacation, two company-wide Mental Health Days, Headspace access, retirement savings, tuition reimbursement, and incentive programs.
• Resources supporting mental, physical, and financial wellbeing, alongside continuous learning and career development programs.
• Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.