AI Solutions Engineer (AI)

TL;DR

AI Solutions Engineer (AI): Advising and enabling sophisticated ML/GenAI teams globally to effectively utilize hirify.global's observability platform with an accent on providing technical guidance and driving business value. Focus on demonstrating product capabilities, consulting on best practices, and shaping the product roadmap based on client feedback.

Location: This role requires the right candidate to be based in Raleigh, New York City, or San Francisco.

Salary: $125,000–$175,000 annually, plus competitive equity.

Company

hirify.global is a Series C company focused on providing a leading AI & Agent Engineering observability and evaluation platform for high-performing, reliable AI systems.

What you will do

• Act as a trusted advisor to sophisticated ML/GenAI teams, building relationships with technical and business stakeholders.
• Advise on GenAI and ML best practices.
• Give ML and LLM product demos to technical and business audiences.
• Run strategic business reviews in partnership with the sales team.
• Partner with product and engineering to drive the product roadmap.
• Spearhead new opportunities within existing accounts for expansion.

Requirements

• Previous experience as a Data Scientist, Machine Learning Engineer, or Engineer working with ML models or GenAI applications in production.
• Comfortable working in public Cloud environments (AWS, Azure, GCP).
• Knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of LLM/Agentic frameworks (Llamaindex, LangGraph, DSPy).
• Understanding of ML/DS concepts, model evaluation strategies, and lifecycle.
• Proficiency in a programming language (Python, JS/TS, Java, Go).
• Strong communication skills to simplify complex technical concepts.
• Must be based in Raleigh, New York City, or San Francisco.

Nice to have

• Previous engineering experience in Data Science, MLOps, ML Frameworks, or LLM/Agentic frameworks.
• Customer-facing experience (Solutions Architect, Implementation Specialist, Sales Engineer).
• Prior experience with applications deployed with Kubernetes.

Culture & Benefits

• Remote-first company culture with optional offices in New York City and San Francisco.
• WFH monthly stipend for co-working spaces.
• Comprehensive benefits package including medical, dental, vision, and 401(k) plan.
• Unlimited paid time off and generous parental leave plan.
• Focus on advancing responsible AI and fostering a diverse and inclusive environment.