Product Engineer (Staff/Principal) (AI)
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Описание вакансии
TL;DR
Product Engineer (Staff/Principal) (AI): Building an AI-powered workspace for document-heavy industries in real estate with an accent on end-to-end product delivery and AI integration. Focus on creating scalable APIs, event-driven architectures, and intuitive frontend experiences using AI coding tools to maximize productivity.
Location: Hybrid in New York
Salary: $150,000–$300,000 per annum
Company
is an AI workspace startup automating complex tasks and extracting insights from documents for investment managers and developers in the real estate industry.
What you will do
- Own core product areas end-to-end, from discovery and design through to deployment and customer adoption.
- Develop scalable APIs and backend services for document processing, data extraction, and agentic workflows.
- Build polished frontend experiences that make powerful AI capabilities intuitive and accessible to enterprise users.
- Collaborate with customers and commercial teams to translate real-world pain points into technical specifications.
- Leverage AI coding assistants like Claude Code, Cursor, and Copilot to accelerate development workflows.
- Mentor other engineers and champion best practices in testing, observability, and CI/CD.
Requirements
- Strong Python skills with a track record of shipping critical customer-facing features.
- Experience designing and building high-quality APIs, services, and distributed systems.
- Solid frontend skills and experience building polished, user-facing applications.
- Proven history of owning end-to-end product development in high-growth startups.
- Proficiency with AI coding assistance tools (Cursor, GitHub Copilot, Claude Code).
- Must be based in or able to work hybrid in New York.
Nice to have
- Experience with cloud infrastructure (GCP, AWS, or Azure) and container orchestration.
- Past experience in real estate, law, or finance domains.
- Background in event-driven architectures, streaming systems, and microservices.
- Contributions to open-source projects or technical communities.
Culture & Benefits
- Meaningful equity with a standard vesting schedule.
- Tailored support for life's challenges, including IVF, gender-affirming care, and ADHD diagnosis.
- Meaningful parental leave.
- Engineering culture based on "Own It, Ship It, and Don't Be Boring" with an emphasis on intellectual honesty.
Hiring process
- CV submission and initial screening questions.
- Fit call with the CTO.
- Live task and competency interview.
- In-person culture fit interview with founders and team members.
- Optional paid one-week trial for eligible candidates.
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