Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI): Building user-facing AI services for financial data transformation platform with an accent on web applications, interactive workflows, and integrations with financial systems. Focus on developing full-stack features, API integrations, and audit dashboards that make complex data processing accessible via natural language.

Company

Preql is building the AI-powered financial data platform for modern enterprises, backed by tier 1 venture firms, serving media, retail, and manufacturing customers.

What you will do

• Build and iterate on web applications and interactive workflows for AI-powered data transformation using natural language.
• Develop full-stack features from frontend UI to backend API integrations with Excel, CSV, NetSuite, and QuickBooks.
• Create audit dashboards and reporting tools that explain transformation logic for finance teams.
• Implement integrations with financial data sources and export formats.
• Participate in customer demos to gather feedback and collaborate on architecture decisions.

Requirements

• 4+ years building production web applications with modern frameworks like Typescript and Python.
• Strong backend or full-stack development experience with API development and third-party integrations.
• Understanding of databases, data processing, and formats like CSV, JSON, Excel.
• Experience with cloud platforms (AWS, GCP, Azure), agile development, security best practices, and production deployment.
• Comfortable collaborating with product managers and technical leadership on requirements and implementation.

Nice to have

• Experience with LLM-based code-gen tools like Claude Code or OpenAI Codex.
• Data/analytics background in ETL pipelines or analytics platforms.
• AI/ML integration, enterprise software requirements, financial systems familiarity, or customer-facing experience.

Culture & Benefits

• Small, focused founding team with immediate impact, direct customer feedback, and rapid iteration.
• Work closely with Product Manager on requirements and CTO on technical guidance.
• Well-funded runway to build leading-edge agentic AI systems for complex data workflows.
• Hands-on experience with AI product development and enterprise patterns.

Hiring process

• Send a 50-word note on yourself and why the role interests you, plus examples of relevant applications.