Full Stack Engineer (Senior) ID55910

AgileEngine•Downey, CA

3d•Remote

About The Position

As a Senior Full Stack Engineer, you will build and integrate a cutting-edge financial intelligence platform designed for AI-driven insights, connecting complex backend systems with intuitive, data-rich user experiences. Working across Python, Node.js, React, and cloud integrations, you’ll transform raw billing data into actionable metrics while leveraging AI-first development workflows to accelerate delivery. This role offers high ownership, close collaboration with product leadership, and the opportunity to shape a fast-evolving, data-intensive product from the ground up.

Requirements

6+ years of experience with a full-stack background
Strong experience with Python and Node.js
Experience with PostgreSQL schema design and data modeling
Experience integrating Azure billing systems or similar APIs
Experience building frontend applications with React
Experience using AI tools such as Claude or GPT
Experience integrating third-party APIs, especially billing systems
Ability to work with incomplete requirements and deliver solutions
Experience working in early-stage product environments
Experience integrating frontend tests into CI/CD pipelines
Familiarity with observability and telemetry systems
Upper-intermediate English level

Nice To Haves

Experience building or consuming SDKs
Experience with PHP
Experience building financial or billing systems
Familiarity with AI usage metrics or ROI tracking models
Experience working with dashboards and data-heavy UI patterns
Startup or founder-led product experience
Exposure to AI tooling workflows

Responsibilities

Own implementation and integration of product components including dashboards and insights
Design and build backend functionality for billing rules, chargeback logic, and ROI calculations
Integrate external billing data sources
Build and evolve APIs and data pipelines to transform raw billing data into financial insights
Implement frontend functionality for dashboards and data-heavy UI views
Make architectural decisions prioritizing maintainability and speed
Collaborate with product stakeholders with minimal process overhead
Ensure smooth deployment workflows
Contribute to product cohesion across different components
Design and optimize AI-driven development workflows
Improve prompt strategies and validation workflows
Leverage AI agents to automate development and testing
Ensure data integrity, auditability, and financial accuracy
Identify and address technical gaps and reliability risks

Benefits

Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
Exciting projects: Modern solutions with Fortune 500 and top product companies.
Flextime: Flexible schedule with remote and office options.

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