Staff ML Engineer (AI)

Location: Remote USA

Base salary: $130,000–$190,000 per year, plus a discretionary bonus or commission and benefits.

Company

hirify.global provides experience measurement, data analytics, and AI-powered insights for healthcare and other complex industries.

What you will do

• Lead technical delivery of AI systems from prototype through deployment and ongoing production support.
• Architect and build high-volume AI services and processing pipelines with fault tolerance, backpressure, retries, idempotency, and recovery from partial failures.
• Develop Python services and a Databricks-based platform for distributed processing, model serving, and traditional ML and LLM components.
• Establish standards for automated testing, CI/CD, model and prompt versioning, load testing, controlled rollouts, and rollback.
• Build evaluation and monitoring systems for AI quality, reliability, throughput, latency, and inference cost.
• Guide architecture and code reviews, mentor engineers, and partner with Product, AI Scientists, and Responsible AI teams.

Requirements

• 8+ years of professional software engineering experience, including at least 3 years owning ML or LLM systems in production.
• Advanced Python and strong SQL skills for production services and data processing.
• Experience designing and operating high-throughput distributed systems, including failure recovery, multi-tenancy, and capacity planning.
• Hands-on experience deploying and operating LLM applications with evaluation, output validation, observability, and cost management.
• Strong production engineering experience with automated testing, CI/CD, monitoring, incident response, and root-cause analysis.
• Technical leadership experience across system design, implementation, code review, mentorship, and stakeholder communication.

Nice to have

• Experience with Databricks or comparable cloud-based data and AI platforms.
• Background in NLP, text analytics, unstructured data processing, retrieval-augmented generation, semantic search, or LLM orchestration.
• Experience with speech-to-text, speaker diarization, conversational audio, AWS, Azure, or regulated healthcare environments.

Culture & Benefits

• Collaborative environment focused on customer partnership, ownership, continuous learning, and innovation.
• Competitive benefits package.
• Discretionary bonus or commission tied to achieved results.
• Commitment to an inclusive workplace and reasonable accommodations during the hiring process.