Staff AI Software Engineer (AI)

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.