TL;DR

Staff Applied AI Engineer (AI): Defines strategic AI capabilities and delivers AI-native solutions for a healthcare analytics platform with an accent on generative models, orchestration frameworks, and responsible AI practices. Focus on designing and launching reusable AI frameworks, scaling high-impact AI systems, and driving build-vs-buy evaluations for core AI platforms.

Location: Remote (US) or hybrid in San Francisco, New York City, or Chicago. Must be based in the US.

Salary: $225,000–$298,000 USD

Company

%hirify_global% is a product company building a leading healthcare analytics platform to reduce the global burden of disease using de-identified, real-world patient data and innovative algorithms.

What you will do

Define and evolve strategic AI capabilities aligned with business goals and healthcare product needs.
Design and launch reusable AI frameworks and end-to-end AI solutions from prototype to production.
Partner across engineering, product, and operations to identify AI-native leverage opportunities.
Drive experimentation with emerging AI toolchains and guide their adoption.
Lead cross-functional knowledge sharing and technical mentorship.
Ensure robust observability, governance, and explainability for deployed AI features.

Requirements

Proven track record delivering scalable, production-ready AI systems from research prototypes.
Strong technical leadership in generative AI, LLMs, orchestration frameworks, multi-agent systems, and responsible AI practices.
Fluency in Python and experience with modern GenAI toolchains (e.g., vLLM, Crew AI, Strands, LangChain, Chat Completions API).
Full-stack engineering proficiency (React/Vue, FastAPI, Django, Flask) to ship complete AI-powered features.
Experience setting company-wide standards in AI development, governance, and MLOps.
Excellent collaboration and communication skills.
Degree in Computer Science, Machine Learning, or equivalent professional experience.

Nice to have

Expertise in healthcare data modalities (claims, EHR, genomic data).
Experience leading large-scale distributed data and compute systems (e.g., Spark, Databricks, Snowflake).
Track record influencing data strategy and architecture.

Culture & Benefits

Hybrid work model with choice and flexibility, including remote options within the US or local to San Francisco, New York City, or Chicago.
Competitive total rewards package including medical, dental, and vision coverage.
401k Retirement Plan with company match.
Paid time off for vacation, sickness, holiday, and bereavement.
100% company-paid life insurance and long-term disability insurance.