обновлено 4 дня назад
Lead/Staff Fullstack Engineer (AI Platform & Agents)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead/Staff Fullstack Engineer (AI Platform & Agents) (GenAI platform, full-stack systems, and medical AI): Building scalable platform components, developer tooling, and AI agents that support rapid validation and deployment across hundreds of product teams with an accent on secure cloud-native architecture, reliability, and measurable customer outcomes. Focus on designing RAG and tool-use systems, implementing evaluations and observability, reducing hallucinations and latency, and mentoring engineers while taking solutions from concept to production.
Location: Warsaw, Poland; applicants may be required to appear onsite at a office during the hiring process.
Employment type: Full time
Company
is a global technology company providing software and information solutions for professionals across health, justice, sustainability, prosperity, and commerce.
What you will do
- Design and implement full-stack applications, AI agents, and platform components for GenAI development, validation, and deployment.
- Build developer tooling, CI/CD, infrastructure-as-code, and observability for safe iteration, evaluations, canary releases, rollbacks, and cost and quality telemetry.
- Apply secure SDLC, threat modeling, least-privilege access, and privacy-by-design practices.
- Use LLM patterns including RAG, retrieval, routing, tool use, and evaluations to improve reliability, trust, decision speed, and cost efficiency.
- Collaborate with product, UX, and domain experts on customer-focused solutions, while driving architecture and larger projects.
- Mentor engineers and lead hands-on delivery 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 of AI agent development and evaluation, backend, frontend, cloud services, CI/CD and infrastructure as code, SRE, quality engineering, or secure SDLC.
- Proven experience delivering secure, reliable, cloud-native systems to production.
- Strong problem-solving, ownership, and cross-functional communication skills.
- Participation in onsite hiring activities at a office may be required.
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, model adaptation, and frameworks such as SOC 2 or HIPAA.
Culture & Benefits
- Remote-first team of approximately 100 engineers within an established global organization.
- High-autonomy, high-impact environment combining corporate stability with startup agility.
- Inclusive culture emphasizing diversity, creativity, belonging, and professional growth.
- Work focused on medical AI, including the UpToDate Expert AI clinical reasoning agent.
Hiring process
- 15-minute introductory screening.
- Two live-coding interviews, one systems-design interview, and one presentation of past work.
- Typical process timeline: 2–4 weeks.
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