Sales Engineer (AI/ML)

Location: Fully remote from Colombia; collaboration includes US-based clients across LATAM time zones.

Company

hirify.global is a technical services company founded in Palo Alto that helps US companies build and scale AI, ML, and data teams with LATAM talent.

What you will do

• Lead technical discovery across data engineering, machine learning, data science, analytics, and AI engineering use cases.
• Design and present RAG, agentic workflow, LLM evaluation, model serving, and end-to-end MLOps architectures.
• Turn ambiguous client needs into solution approaches, effort estimates, risk assessments, and statements of work with Account Executives.
• Prepare technical proposals, reference architectures, demonstrations, and proof-of-concept plans.
• Transfer scope, assumptions, and technical context to delivery teams after deals close.
• Develop reusable solution patterns and provide market feedback to product, delivery, and marketing.

Requirements

• 5+ years of professional engineering experience with increasing technical responsibility.
• 3+ years of hands-on experience as a Senior Engineer in AI engineering, machine learning engineering, data engineering, or a related production-focused role.
• Strong machine learning system design skills, including live whiteboarding and reasoning about latency, cost, accuracy, and maintainability.
• Practical experience with GenAI and LLM systems, including RAG, agentic patterns, evaluation, prompt and context engineering, fine-tuning, and inference infrastructure.
• Working fluency across data engineering pipelines, warehouses or lakehouses, feature stores, and analytics workflows.
• Advanced English proficiency and excellent written and verbal communication for technical and executive audiences.

Nice to have

• Experience in sales engineering, solutions architecture, or pre-sales technical roles at a services firm, AI/ML platform, or cloud provider.
• Experience writing technical proposals and statements of work for consulting engagements.
• Experience with Anthropic, OpenAI, Google, Bedrock, Vertex, SageMaker, Databricks Mosaic, and agentic frameworks.
• Experience with GenAI evaluation tooling, production deployment, observability, and cost or latency optimization.
• Public technical presence or experience working with US-based clients across LATAM time zones.

Culture & Benefits

• Ownership through equity participation.
• Annual company retreat and optional in-person events and meetups.
• Education bonus, tailored career roadmaps, paid time off, and a company-wide winter break.
• Transparent, collaborative, high-performance environment focused on learning, autonomy, and execution.