Senior Full-Stack AI Engineer (AI-Native, Full-Stack Generalist)

Raydar • United State

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AI Summary

Lead end-to-end development of an AI-driven private markets platform, owning large product areas and elevating engineering standards. Build AI agents, full-stack systems, and collaborate cross-functionally to deliver high-impact features for finance teams. Drive architectural excellence, code quality, and team growth in a fast-growing, AI-first startup.

Key Highlights

Own large parts of the AI platform end-to-end, including AI agents for investment-grade analysis and presentation generation

Act as a force multiplier, mentoring senior engineers and raising the bar on architecture and code quality

Work closely with customers, sales, and product teams to translate finance needs into shipped features

Key Responsibilities

Build full-stack systems from frontend (React/Next.js) to backend, databases, and migrations using AI agents for code writing and review

Own large product areas end-to-end, such as AI agents generating investment-grade presentations and memos for finance teams

Write and review technical design documents, spending 10-20% of time mentoring other engineers on architecture and code quality

Collaborate directly with customers, sales, customer success, and product teams to deliver features tailored to finance professionals

Drive improvements in architecture, code quality, and engineering practices across the team

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Technical Skills Required

Python JavaScript PostgreSQL

Benefits & Perks

$290,000-$340,000 base salary (higher for exceptional candidates)

25% annual performance bonus

Competitive equity

Relocation support

Visa transfers considered

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Nice to Have

Experience with SOC 2 compliance

Background job systems (e.g., Celery, Sidekiq)

Experience with AI-native tools or frameworks beyond general AI knowledge

Job Description

About the Company

Our client is a seed-stage AI platform for private markets investors, built for private credit, private equity and commercial banking. It turns dense, unstructured deal materials into auditable, investment-grade analysis and memos in minutes, and teams using it evaluate deals more than 60% faster. Its customers include commercial banks and private credit funds. It has raised more than $29M from top investors, has roughly 25 to 35 employees and has an AI-native, lean culture. Revenue is growing faster than its five-person engineering team, so engineering hiring is the top priority.

About the Role

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