Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building core Machine Learning foundations for Nova’s agentic experiences, focusing on applied ML in production environments. Focus on designing and implementing retrieval systems, evaluation frameworks, and model integration layers to ensure reliability, scalability, and repeatability of AI features.

Location: Remote (US)

Salary: $133,500 - $212,000

Company

hirify.global is a leading AI-powered customer engagement platform that helps brands create dynamic, individualized experiences at scale.

What you will do

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines and indexing strategies.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.

Requirements

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript.
• Experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.

Nice to have

• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.

Culture & Benefits

• Competitive salaries, meaningful equity, & 401(k) plan.
• Medical, dental, vision, & life insurance.
• Flexible PTO, Balance Days (additional paid holidays), & Paid Sabbatical.
• Monthly Employee Wellness allowance & Monthly Professional Development allowance.
• Commitment to building a diverse and inclusive workplace.