обновлено 1 день назад
Lead/Staff Fullstack Engineer (AI Platform & Agents)
97 400 - 174 050$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead/Staff Fullstack Engineer (AI Platform & Agents) (TypeScript/Node/React/Python): Building full-stack GenAI platform components, AI agents, developer tooling, and cloud-native services for rapid agent development, validation, and deployment with an accent on reliability, security, observability, and measurable customer outcomes. Focus on designing RAG and tool-use systems, implementing evaluations and safe rollouts, reducing hallucinations and latency, and delivering production-grade platform capabilities across healthcare, legal, tax, and compliance domains.
Location: US/Canada, hybrid or remote; remote-first options are also available in the EU. A 9–11 AM CST working-hours overlap is required. Candidates within commuting distance of a office work onsite 2 days per week; occasional team onsite or offsite travel may be required.
Salary: $97,400–$174,050 USD annually
Company
provides information, software, and services for healthcare, legal, tax, and compliance industries.
What you will do
- Design and implement full-stack applications, AI agents, and platform components for rapid GenAI development, validation, and deployment.
- Build developer tooling, CI/CD pipelines, observability, evaluations, canary releases, rollbacks, and cost and quality telemetry.
- 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, latency, safety, and cost.
- Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes.
- Lead by example through high-quality, maintainable production code.
Requirements
- 5+ years of professional software engineering experience.
- Strong full-stack development skills and experience with 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.
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, high-autonomy environment within a globally distributed engineering organization.
- Medical, dental, and vision plans.
- 401(k), FSA/HSA, and commuter benefits.
- Tuition assistance, vacation and sick time, and paid parental leave.
- Applications require a resume and a brief cover letter with a Statement of Exceptional Work.
Hiring process
- Interviews must be completed without AI tools or external prompts.
- Virtual backgrounds must be removed, and in-person interviews may be required at a office.
- Use of AI-generated responses or third-party support during interviews may result in disqualification.
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