Fullstack Software Engineer (Python/React/AI)

About the Role

We are looking for a Full-Stack Software Engineer with a strong foundation in Python and TypeScript to join our engineering team. You’ll play a key role in transforming our legacy BI and reporting platform into a modern, AI-enabled data intelligence system.

You’ll help us integrate AI agents for data cleaning, build a semantic layer that unifies business logic across data sources, and maintain reliable data pipelines that power financial and operational reporting for enterprise clients.

This is a hands-on engineering role with high visibility and the opportunity to work at the intersection of data systems, AI workflows, and modern software engineering.

Key Responsibilities

• Refactor and modernize our existing BI platform to support AI integration and SOC 2 compliance.

• Collaborate with data, AI, and customer success teams to troubleshoot and resolve customer-facing data/reporting issues.

• Design, build, and maintain APIs, services, and UIs that support new agentic workflows and data cleaning capabilities.

• Support migration and maintenance of Snowflake, DBT, and related data models.

• Develop systems to track, audit, and visualize data transformation history and agent actions.

• Apply modern software engineering best practices—testing, CI/CD pipelines, code reviews, and version control.

• Work closely with leadership to shape the architecture of AI-assisted data tools and workflows.

Qualifications

• 4+ years of professional software engineering experience.

• Strong skills in Python and TypeScript/React.

• Understanding of data systems, ETL/ELT, and tools like Snowflake or DBT.

• Familiarity with AI or LLM-based applications is a strong plus.

• Experience building reliable, maintainable software using modern development principles (CI/CD, testing, structured workflows).

• Ability to navigate ambiguity and help define technical direction in evolving product areas.

• Strong communication and collaboration skills across distributed teams.

• Must be available to work during Eastern Time Zone business hours.

Preferred Experience

• Prior work in analytics, data products, or AI/automation tools.

• Experience building semantic layers or metadata-driven systems.

• Familiarity with SOC 2 or enterprise compliance frameworks.

Background in both product and infrastructure engineering.