9 дней назад
Full Stack Engineer (AI)
125 000 - 205 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full Stack Engineer (AI): Building an AI-native private-assets diligence platform with an accent on React and TypeScript interfaces, Python services, data models, and LLM-powered workflows. Focus on integrating document extraction, chat over data, and generated reports, while solving client onboarding, platform reliability, and performance challenges.
Location: New York, United States
Salary: $125,000–$205,000 per year, plus eligibility for an annual bonus.
Company
provides research-based data, analytics, indexes, and technology for investors and financial institutions across public and private markets.
What you will do
- Design, build, and ship product features across React, Next.js, TypeScript, Python, and FastAPI.
- Build responsive interfaces for document review, diligence frameworks, report generation, and editing.
- Design APIs and data models supporting the application and AI-powered features.
- Integrate LLM capabilities such as document extraction, chat over data, and generated reports.
- Work with clients and client-facing teams to understand workflows and turn feedback into product improvements.
- Support secure document ingestion, client onboarding, integrations, reliability, performance, testing, monitoring, and incident response.
Requirements
- 3+ years of experience building and operating production web applications end to end.
- Strong React, Next.js, and TypeScript experience with data-rich interfaces.
- Backend experience with Python, APIs or services, relational databases such as MySQL or PostgreSQL, and asynchronous or background processing.
- Experience integrating LLM APIs, including prompt design, tool calling, and handling model outputs in user-facing applications.
- Strong product sense and the ability to work directly with clients and non-technical stakeholders.
- Ability to work in a lean, fast-moving environment and take ownership across frontend, backend, and AI development.
Nice to have
- Experience in financial services, private markets, asset management, wealth management, or fintech.
- Experience in forward-deployed, solutions, or early-stage product engineering roles with significant client exposure.
- Experience with GCP or Azure, containers, and CI/CD tools such as GitHub Actions.
Culture & Benefits
- Comprehensive employee benefits and compensation tailored to location.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- Learning opportunities through the Global Orientation program, Learning@, AI Learning Center, and LinkedIn Learning Pro.
- Career growth through internal mobility, expanded roles, and multi-directional career paths.
- Inclusive environment supported by employee resource groups.
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