Senior Software Development Engineer (AI)

Location: Remote within the United States; candidates must be legally authorized to work in the country of employment without visa sponsorship. Up to 10% travel may be required. Relocation assistance is not authorized. Initial on-site onboarding travel is required for hires starting October 1, 2025 or later.

Salary: $106,000–$145,750 expected compensation range, including base pay and variable incentive pay if eligible.

Company

hirify.global develops healthcare solutions at the intersection of health, material, and data science, supporting healthcare professionals and patients.

What you will do

• Design, develop, test, and operate services for the hirify.global Health Information Systems AI Fabric.
• Build scalable AI inference, agentic workflow, lifecycle management, and orchestration capabilities.
• Develop LLM, SLM, MCP, AI agent, tool integration, and multimodal medical documentation and coding frameworks.
• Build APIs, SDKs, reusable services, and developer tooling for secure AI integration.
• Engineer cloud-native distributed systems using containers, Kubernetes, microservices, CI/CD, observability, and infrastructure automation.
• Collaborate with engineering, science, product, architecture, and security teams on design, reviews, testing, and operational readiness.

Requirements

• Bachelor’s degree or higher and 5–10 years of computer science or software development experience building and operating production software.
• Strong programming skills in Python, Java, Go, and TypeScript.
• Experience with AWS, GCP, or Azure and infrastructure automation using Docker, Kubernetes, Terraform, observability, and CI/CD.
• Experience building REST APIs, GraphQL, gRPC, and event-driven systems.
• Experience with generative AI, LLMs, SLMs, RAG, vector search, model evaluation, and agentic AI frameworks such as LangGraph and LangChain.
• Must be legally authorized to work in the United States without employment visa sponsorship.

Nice to have

• Experience developing healthcare applications or platforms.
• Strong engineering discipline in automated testing, code coverage, security, privacy, reliability, performance, and code sustainability.

Culture & Benefits

• Work on AI capabilities for healthcare information systems and regulated medical environments.
• Remote work with up to 10% travel.
• Company-paid travel and expenses for required initial on-site onboarding.
• Potential benefits include medical, dental, vision, HSA, FSA, disability, life insurance, paid absences, and retirement benefits.