Senior Fullstack Engineer (AI Platform)

Location: Remote-first in the US or EU, with hybrid options near major offices. Collaboration requires 9–11 AM CST overlap. Occasional travel to team onsites or offsites may be required. Applicants may be required to appear onsite at a hirify.global office during the recruitment process.

Company

hirify.global develops information, software, and services for healthcare, legal, tax, and compliance industries.

What you will do

• Design and implement full-stack applications, AI agents, and reusable GenAI platform components.
• Build developer tooling, CI/CD pipelines, observability, evaluations, canary releases, and rollback capabilities.
• Apply secure SDLC, threat modeling, least-privilege access, and privacy-by-design practices.
• Use RAG, retrieval, routing, tool use, and evaluation patterns to improve AI reliability, safety, latency, and cost.
• Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes.
• Write high-quality, maintainable code and contribute from initial concept through production deployment.

Requirements

• 5+ years of professional software engineering experience.
• Strong full-stack development and cloud experience across AWS, Azure, or GCP.
• Expertise in at least one of AI agent development and evaluation, backend or frontend development, cloud services, CI/CD and infrastructure as code, SRE, quality engineering, or secure SDLC.
• Experience delivering secure, reliable, cloud-native systems to production.
• Strong problem-solving, ownership, and cross-functional communication skills.
• Availability for 9–11 AM CST collaboration overlap and the ability to work from the US or EU.

Nice to have

• Experience taking AI agents from concept to production, including safety evaluations, A/B testing, and continuous improvement.
• Experience with LangChain, LangGraph, MCP, vector or RAG systems, and OpenSearch.
• Experience with traditional ML training, deployment, and monitoring.
• Knowledge of LLM failure modes, fine-tuning, model adaptation, and regulatory frameworks such as SOC2 or HIPAA.

Culture & Benefits

• Remote-first work within a globally distributed engineering organization of approximately 100 engineers.
• High-autonomy environment combining the stability of an established company with startup-style agility.
• Manager-of-one mindset focused on outcomes and demonstrated impact.
• Sub-teams of fewer than 10 engineers focused on platform services or customer-facing agents.
• Occasional team onsite and offsite events.

Hiring process

• 15-minute introductory screen.
• Two live-coding interviews, one systems-design interview, and one presentation of past work.
• Typical process timeline: 2–4 weeks. Interviews must be completed without AI tools or external prompts.