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Full Stack AI Engineer

DataDasher
Full-time
On-site
San Francisco, California, United States
$120,000 - $120,000 USD yearly
Overview

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Full Stack AI Engineer

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DataDasher . Get AI-powered advice on this job and more exclusive features. This range is provided by DataDasher. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$120,000.00/yr - $180,000.00/yr About DataDasher

DataDasher changes everything. We’ve built the industry’s best AI-powered digital agent that silently rides along during client conversations, capturing every important detail while advisors focus on their clients. The moment a call ends, our AI immediately generates comprehensive meeting summaries, pre-populates CRM entries with precise bullet points, and drafts detailed instructions for support staff—complete with specific dollar amounts, account numbers, and deadlines. Our platform synchronizes the entire financial advisor tech stack—emails, virtual meetings, cloud storage, and CRM systems—creating a unified intelligence layer that learns from every client interaction. Our compliance-friendly AI captures critical information, monitors communications for regulatory keywords, and helps prepare for future meetings by surfacing relevant client history and insights. DataDasher restores time for advisors to focus on meaningful client conversations. This is how AI saves the wealth management industry from buckling under increasing demand—by transforming the most valuable professionals from overwhelmed administrators back into trusted advisors. Position Overview

We are seeking an experienced AI Full-Stack Engineer to join our growing engineering team of 6. This role combines cutting-edge AI/ML technologies with modern full-stack development to build and enhance our advisor-assistant platform. You’ll work on everything from natural language processing and audio analysis to enterprise-grade security and CRM integrations. Key Highlights

Hybrid - MWF in-person in our SF Financial District Office Small team = big impact on product direction - you’ll work on everything from natural language processing and audio analysis to enterprise-grade security and CRM integrations Key Responsibilities

Full-Stack Development: Build and maintain React.js frontend applications with modern UI frameworks Develop robust Node.js/Express.js backend APIs and services Design and implement PostgreSQL database schemas Create real-time features using webhooks and Redis for caching Implement enterprise authentication and authorization systems AI Development

Design and implement advanced natural language understanding services using LLMs Develop and optimize audio processing pipelines for meeting transcription and analysis Build intelligent conversation analysis systems for generating summaries, action items, and client insights Implement vector search capabilities Develop financial advisor-specific NLP for client communication and relationship management Enterprise Implementation

Build and maintain CRM integrations Develop calendar and email integrations Implement scheduling, payment, and management systems Ensure data privacy and security best practices (encryption, secure API design) Required Qualifications

Technical Skills

Frontend: 1+ years experience with React.js, modern JavaScript/ES6+, responsive web design Backend: 1+ years experience with Node.js, Express.js, RESTful API development Database: Experience with SQL databases AI/ML: Experience with calling LLM APIs, vector databases Cloud Services: Experience with Azure, Redis, enterprise-scale deployments Authentication: OAuth 2.0, JWT, session management Professional Experience

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) 1+ years of full-stack development experience Bonus: 1+ years working with AI/ML technologies in production environments Experience with enterprise software development Strong understanding of software security principles and compliance requirements What We Offer

Competitive salary and equity package Hybrid work schedule Opportunity to work with cutting-edge AI technology Collaborative, innovation-focused team environment where you have real agency An opportunity to wear many hats, across business development and product Direct impact on the success of financial advisors and their clients To Apply

Please submit your resume, and/or portfolio of relevant projects Seniority level

Mid-Senior level Employment type

Full-time Job function

Engineering and Information Technology Referrals increase your chances of interviewing at DataDasher by 2x

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