aifullstackcloudllmraginfrastructure as codeci cdsreobservabilitysecure sdlc
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Хорошо проработанная вакансия с высокой степенью ответственности в стабильной компании, работающей над современными AI-продуктами, хотя роль требует широкого спектра экспертных навыков.
Широкий стек задач
Трендовый домен
Современный стек
Четкие ожидания
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Fullstack Product Software Engineer (AI): Building a central GenAI platform, AI agents, and full-stack systems for rapid development, validation, and deployment with an accent on agent evaluation, cloud-native engineering, and secure platform capabilities. Focus on designing reliable LLM applications, improving latency and hallucination rates, building CI/CD and observability tooling, and leading architecture from concept to production.
Location: Warsaw, Poland; hybrid with 8 office days per month
Company
hirify.global is a global technology company providing software and information solutions for professional customers, including healthcare.
What you will do
Design and implement full-stack applications, AI agents, and platform components for GenAI agent development, validation, and deployment.
Build developer tooling, CI/CD, infrastructure, observability, evaluations, canary releases, rollbacks, and cost and quality telemetry.
Apply secure SDLC, threat modeling, least privilege, and privacy-by-design practices.
Use LLM patterns including RAG, retrieval, routing, tool use, and evaluations to improve reliability, trust, safety, latency, and cost.
Collaborate with product, UX, and domain experts to deliver measurable customer outcomes, including healthcare applications such as UpToDate Expert AI.
Lead architecture, own larger projects, mentor engineers, and remain hands-on from concept through production.
Requirements
5+ years of professional software engineering experience.
Strong full-stack development and cloud experience with AWS, Azure, or GCP.
Expertise in at least one and proficiency across the others: AI agent development and evaluation, backend development, frontend development, cloud services, CI/CD and Infrastructure as Code, SRE, quality engineering and testing strategy, and secure SDLC and privacy by design.
Proven experience delivering secure, reliable, cloud-native systems to production.
Excellent problem-solving, ownership, and cross-functional communication skills.
Nice to have
Experience delivering software products independently or in a small, fast-paced team.
Experience taking AI agents from concept to production, including safety evaluations, iterative testing, A/B testing, and continuous improvement.
Experience with LangChain, LangGraph, MCP, vector and RAG systems, and OpenSearch.
Experience with traditional ML training, deployment, and monitoring.
Understanding of LLM operation, failure modes, fine-tuning, and model adaptation.
Familiarity with SOC 2, HIPAA, or similar regulatory frameworks.
Culture & Benefits
Join a 100-engineer team within an established organization combining corporate stability with startup agility.
Work in a high-autonomy, high-impact environment focused on customer outcomes and innovation.
Hybrid work arrangement with 8 office days per month in Warsaw.
First-month onboarding includes deep-diving into a platform component and shipping small improvements; afterward, work is aligned with strengths and ambitions.
Hiring process
Process includes a 15-minute introductory screen, two live-coding sessions, one systems-design interview, and one presentation of past work; the typical timeline is 2–4 weeks.
Apply with a resume and brief cover letter containing a “Statement of Exceptional Work” describing a project, role, challenges, and measurable impact.
Do not submit proprietary or confidential information. Interviews must be completed without AI tools or external prompts; applicants may be required to attend onsite at a hirify.global office.
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