Full-Stack Engineer – AI Tools for Finance (Stamford Onsite)

nineDots.io

Stamford (CT)

On-site

USD 160,000 - 230,000

Full time

27 hours ago
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Benefits offered by this job

Equity ownership from day one
Discretionary bonus
Hands-on AI and investment research

Job summary

nineDots.io in Stamford, CT is seeking a full-stack engineer to own and evolve investment research and risk management software. You will build full-stack web apps using TypeScript, React, and Next.js, with Python scripting and SQL queries underpinning data workflows.

Join a small, hands-on team with direct access to decision-makers and the chance to shape new products and AI-enabled automations in a money-management context.

Qualifications

  • 2-7 years of professional full-stack software development experience.
  • Strong TypeScript and React experience, ideally including Next.js.
  • Practical experience reading and writing Python for scripting or automation.
  • Strong relational database and SQL skills.

Responsibilities

  • Maintain and improve full-stack applications supporting investment research and risk management.
  • Build new internal tools and workflows from scratch.
  • Develop modern web applications using TypeScript, React and Next.js.
  • Use Python for scripting, automation and data-related workflows.
  • Design and query relational databases using production-quality SQL.
  • Build AI-enabled automations using platforms such as OpenAI and Anthropic.

Skills

TypeScript
React
Next.js
Python
SQL
Frontend development

Education

Bachelor's degree in Computer Science

Tools

tRPC
Prisma
OpenAI API
Anthropic API
AWS
CI/CD
Airflow

Job description

nineDots.io in Stamford, CT is seeking a full-stack engineer to own and evolve investment research and risk management software. You will build full-stack web apps using TypeScript, React, and Next.js, with Python scripting and SQL queries underpinning data workflows.

Join a small, hands-on team with direct access to decision-makers and the chance to shape new products and AI-enabled automations in a money-management context.

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