обновлено 2 дня назад
Principal Fullstack Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Fullstack Engineer (AI): Build the central GenAI platform, AI agents, and full-stack systems that enable rapid development, validation, and deployment across healthcare, legal, tax, and compliance products with an accent on agent evaluation, cloud-native architecture, and secure delivery. Focus on designing developer tooling and observability, applying RAG and tool-use patterns, reducing latency and hallucinations, and leading architecture from concept to production.
Location: Remote-first in the US or EU, with hybrid options near major offices; 9–11 AM CST collaboration overlap and occasional travel for team onsites or offsites.
Company
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 workflows, observability, evaluations, canary releases, and rollback capabilities.
- Apply secure SDLC, threat modeling, least privilege, 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 measurable customer outcomes.
- Drive architecture, own large projects, mentor engineers, and remain hands-on through production delivery.
Requirements
- 8+ years of professional software engineering experience.
- Strong full-stack development skills and experience with AWS, Azure, or GCP.
- Expertise in at least one area among AI agent development and evaluation, backend or frontend development, cloud services, CI/CD and infrastructure as code, SRE, quality engineering, or secure SDLC.
- Proven experience delivering secure, reliable, cloud-native systems to production.
- Excellent problem-solving, ownership, and cross-functional communication skills.
- Ability to work remotely from the US or EU, with 9–11 AM CST collaboration overlap.
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 and RAG systems, or OpenSearch.
- Experience with traditional ML training, deployment, and monitoring.
- Understanding of LLM failure modes, fine-tuning, and model adaptation.
- Familiarity with SOC 2, HIPAA, or similar regulatory frameworks.
Culture & Benefits
- Remote-first work setup with hybrid options near major offices.
- High-autonomy environment focused on outcomes and demonstrated impact.
- Globally distributed engineering organization of approximately 100 engineers.
- Opportunities to work on a central platform used by hundreds of product teams.
- Occasional team onsite and offsite travel.
Hiring process
- 15-minute introductory screen.
- Two live-coding sessions, one systems-design interview, and one presentation of past work.
- The process typically takes 2–4 weeks; applicants may be required to attend an onsite interview at a office.
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