Senior/Staff Full Stack Developer

M62AI; San Francisco (CA); Presencial; USD 160.000 - 300.000; Tempo integral

Benefícios oferecidos por esta vaga

Highly subsidized healthcare

Dental and vision insurance

Generous paid time off

Equity

Resumo da vaga

M62AI is building AI infrastructure for wealth management, blending rigorous data models with AI-driven workflows. You will develop across the stack, design system architectures, and implement agent-based processes that handle complex, real-world tasks while maintaining control and accountability.

Ideal candidates bring deep AI coding agent experience, strong software fundamentals, and a passion for fintech.

Qualificações

• Strong engineering fundamentals and design patterns.
• Experience with at least one of Java/Kotlin/JavaScript/TypeScript.
• Data modeling and relational DB design (PostgreSQL preferred).
• Wealth management or fintech experience is a plus.
• Excellent communication with clients and stakeholders.
• Ability to balance multiple priorities in a fast-paced startup environment.
• Collaborative, team-first approach without heroics.
• Genuine enthusiasm for AI-enabled engineering and agent-driven work.
• Passion evidenced by side projects, research, or experiments.

Responsabilidades

• Develop across our web and workflow products (front end, back end, AI-driven workflows).
• Help design how services, data, and agents fit together.
• Model data and design schemas for evolving wealth-management concepts.
• Build AI agents that handle multi-step business workflows and unstructured documents.
• Write specs for AI tooling and supervise agent outputs.
• Collaborate with clients and commercial stakeholders as a regular part of the job.

Conhecimentos

OOP fundamentals

Java/Kotlin/JS/TS proficiency

Data modeling & relational databases

Wealth management domain knowledge

Client-facing communication

High-pressure prioritization

Team collaboration

AI-enabled engineering enthusiasm

Hands-on AI agent experience

Problem solving & design thinking

Ferramentas

PostgreSQL

AWS

Terraform

Notion

Linear

Descrição da vaga

AI has boundless potential to transform wealth management - but only if it's trustworthy enough for a regulated industry to actually rely on. We're an early-stage, well-funded startup solving that problem: building the AI infrastructure wealth management firms need to move fast without giving up control, accuracy, or accountability.

We're founded and led by operators who've spent their careers at the top of the wealth and asset management industry - people building the platform they always wished existed. We're moving fast, and already live with design partners representing serious scale.

What You'll Do

• Full-stack development. Build across our web and workflow products - front end, back end, and increasingly the systems that support AI driven workflows.
• Solution and system architecture. Help decide how services, data, and agents fit together - not just implement someone else's design.
• Data modeling and database design. Design the schemas, relationships, and data structures that underpin our platform- translating complex wealth-management concepts into data models that are accurate, extensible, and built to evolve.
• AI agents for real work. Build agents that handle multi-step business workflows and process unstructured documents.
• Build AI-forward by default. You'll treat agentic tooling as a genuine force multiplier, not a novelty - writing specs that AI agents implement, and reviewing or directing their output.
• Operate as a business-focused technologist. You'll work closely with clients and commercial stakeholders as a regular part of the job, not an occasional one - some engineers act as forward-deployed engineers today. Clear communication and product sense are as much a part of this role as the code.

What We're Looking For

Essential

• Strong engineering fundamentals. Design patterns, core OOP principles (inheritance, polymorphism, composition), and algorithmic thinking - how you think about the design and structure of code matters more than which language you know.
• Experience with Java/Kotlin/JavaScript/TypeScript. Strong professional experience with at least one of these languages.
• Data modeling and database design. Strong experience designing relational schemas and working with relational databases (PostgreSQL preferred), including thoughtful decisions about data structures, relationships, integrity, performance, and how models evolve over time.
• Wealth management or wealth-tech experience. Closely adjacent fintech works too - it shortens the distance between a client's problem and a working solution, given the specialized data and workflows we work with today.
• Communication and commercial instincts. Comfortable representing the team in front of clients and business stakeholders.
• Composure under pressure. Comfortable juggling multiple concurrent priorities in a fast-moving, early-stage environment.
• No heroics, just engineers who make each other better. Generous with their knowledge, quick to help a teammate, and more focused on the outcome than the byline. We build and ship as a team.
• Genuine enthusiasm for AI-enabled engineering. You'll need deep experience with AI coding agents yet, but you should be comfortable with agents writing code alongside you, curious about how they're changing the craft.
• Real passion for AI. Evidenced by more than professional interest - be it through side projects, independent research, or hands-on experimentation.

Nice to Have

• Prompt engineering, agent development, and evals. A plus if you have it now - table stakes for where this role is headed.
• Testing discipline. Unit testing, testing generally, and adversarial thinking about your own code.
• Infrastructure experience. AWS, Terraform, and related infrastructure tooling.
• Modern tooling. Notion, Linear, and similar ticket-tracking systems.
• Startup experience.

For candidates based in New York, New York or San Francisco, California, the anticipated annual base salary range for this role is $160,000-$300,000.

M62AI offers competitive benefits, including

• highly subsidized healthcare
• dental and vision insurance
• generous paid time off
• equity

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.