Senior Full Stack Engineer, Analytics & AI
Senior Full Stack Engineer, Analytics & AI
Posted today
SENIORITY
Senior
About the role
- 5+ years of full-stack software development experience, ideally building SaaS, enterprise analytics, or data-intensive applications.
- Expert-level React and TypeScript, with strong Python and SQL skills. Demonstrated ability to build sophisticated, visually polished, interactive dashboards and data visualizations.
- Experience with D3.js, ECharts, visx, Highcharts, or comparable visualization libraries.
- Strong understanding of statistics, data modeling, forecasting, and analytical problem-solving.
- Experience with backend development, APIs, databases, and data pipelines.
- Hands-on experience with Claude Code, Cursor, or comparable AI coding agents, including agent-assisted software development.
- Experience integrating LLMs, tool calling, and AI-powered application features.
- Excellent visual design judgment, technical ownership, and communication skills. Especially Valuable
- Experience building business intelligence, financial analytics, or enterprise SaaS platforms.
- Data science and machine learning experience, including Pandas, NumPy, and Scikit-learn.
- Experience developing multi-agent AI workflows or orchestrating specialized coding agents.
- Healthcare technology experience.
- Cloud infrastructure, security, and production deployment experience.
- Who Will Thrive HereWe're looking for someone who is more than a strong programmer.
- You should be excited about the changing landscape of software development and believe that AI agents, guided by exceptional engineers, can dramatically accelerate the creation of sophisticated software.
- You should have the technical depth to understand and challenge AI-generated solutions, the creativity to build beautiful products, and the analytical ability to work confidently with complex data.
- You'll have meaningful ownership of an existing platform, direct collaboration with leadership, and the opportunity to help establish a modern, AI-native engineering workflow.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
