TL;DR

Staff AI Software Engineer (AI): Defining and evolving strategic AI capabilities and designing end-to-end AI solutions for a healthcare analytics platform with an accent on generative models, orchestration frameworks, and responsible AI practices. Focus on delivering high-impact AI systems at scale from prototype to production and shaping reference architectures for Komodo’s AI ecosystem.

Location: Remote (US). Roles may be completely remote based anywhere in the US, or local (commuting distance) to San Francisco, New York City, or Chicago with remote work options.

Salary: $259,000 - $298,000 USD (San Francisco Bay Area and New York City), $225,000 - $259,000 USD (All Other US Locations).

Company

%hirify_global% is transforming healthcare by building the leading healthcare analytics platform to reduce the global burden of disease.

What you will do

Define and evolve Komodo’s strategic AI capabilities in alignment with business goals and healthcare product needs.
Design end-to-end AI solutions from prototyping through production, emphasizing scalability, reliability, and ethical safeguards.
Partner across engineering, product, and operations to identify opportunities for AI-native approaches.
Drive experimentation with emerging AI toolchains (e.g., Gemini, GPT, Claude), evaluating impact and guiding adoption.
Shape reference architectures and reusable frameworks to accelerate product teams and ensure quality across Komodo’s AI ecosystem.
Lead cross-functional knowledge sharing through playbooks, workshops, and technical mentorship.

Requirements

Proven track record of delivering AI systems from research prototypes into scalable, production-ready products.
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 (front-end frameworks like React/Vue; back-end systems like FastAPI, Django, or Flask).
Experience setting company-wide standards in AI development, governance, and MLOps (CI/CD for AI, versioning, monitoring).
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 of influencing data strategy and architecture in complex domains.

Culture & Benefits

Hybrid work model with flexibility and remote options.
Competitive total rewards package including medical, dental, and vision coverage.
401(k) Retirement Plan with company match.
Paid time off for vacation, sickness, holiday, and bereavement.
100% company-paid life insurance and long-term disability insurance.
Emphasis on integrating AI into daily work and leading the AI revolution in healthcare.