Senior Full-Stack AI Engineer – WealthTech

M62AI; San Francisco (CA); On-site; USD 160,000 - 300,000; Full time

Benefits offered by this job

Highly subsidized healthcare

Dental and vision insurance

Generous paid time off

Equity

Job summary

M62 AI is seeking an experienced software engineer to build the AI-powered wealth-management platform. You’ll work across front end, back end, and AI-driven workflows, shaping architectures, data models, and agent-based solutions.

The role emphasizes collaboration with clients and business stakeholders, operating in a fast-growing startup with a focus on trustworthy AI for regulated industries.

Qualifications

• Strong engineering fundamentals.
• Experience with Java/Kotlin/JavaScript/TypeScript.
• Data modeling and database design in relational databases (PostgreSQL preferred).
• Wealth management or wealth-tech experience.
• Communication and commercial instincts.
• Composure under pressure in a fast-paced environment.
• Team-oriented, collaborative engineering culture.
• Genuine enthusiasm for AI-enabled engineering.
• Real passion for AI demonstrated through projects or experiments.

Responsibilities

• Full-stack development across web and workflow products (front end, back end, AI-driven workflows).
• Help design solution and system architecture—how services, data, and agents fit together.
• Design schemas and data structures underpinning the platform.
• Build AI agents for multi-step business workflows and unstructured documents.
• Write specs for AI agents and guide their implementation.
• Engage with clients and business stakeholders as a regular part of the role.

Skills

Engineering fundamentals

Java/Kotlin/JavaScript/TypeScript

Data modeling

Wealth tech experience

Communication skills

Composure under pressure

Team collaboration

AI-enabled engineering

Passion for AI

Job description

M62 AI is seeking an experienced software engineer to build the AI-powered wealth-management platform. You’ll work across front end, back end, and AI-driven workflows, shaping architectures, data models, and agent-based solutions.

The role emphasizes collaboration with clients and business stakeholders, operating in a fast-growing startup with a focus on trustworthy AI for regulated industries.