Senior/Staff Full Stack Developer

M62AI; United States; Remote; USD 160,000 - 300,000; Full time

Benefits offered by this job

Subsidized healthcare

Dental and vision insurance

Generous PTO

Equity

Job summary

M62AI is reshaping wealth management by building AI-driven infrastructure that remains trustworthy and compliant in a regulated industry. We are an early-stage startup led by operators from wealth and asset management, delivering a platform used by design partners at scale.

We seek a versatile engineer who can own full-stack development, shape architecture, model data, and build AI agents to handle real-world workflows. Collaboration with clients and stakeholders is essential in this role.

Qualifications

• Strong engineering fundamentals and design thinking.
• Experience with at least one of Java, Kotlin, JavaScript or TypeScript.
• Expert in relational data modeling and PostgreSQL.
• Wealth management or wealth-tech domain experience.
• Excellent communication with clients and stakeholders.
• Ability to juggle priorities in a fast-moving startup.
• Interest in AI-enabled engineering and agent-driven workflows.
• Passion for AI, demonstrated by projects or experiments.

Responsibilities

• Full-stack development across our web and workflow products.
• Design system and service architecture decisions.
• Model data schemas and relationships for the platform.
• Build AI agents that handle multi-step workflows.
• Develop AI-forward tooling and review agent outputs.
• Collaborate with clients and business stakeholders as a technologist.

Skills

Engineering fundamentals

Java/Kotlin/JS/TS

Data modeling

Wealth management

Communication skills

Composure under pressure

Team collaboration

AI-enabled engineering

AI enthusiasm

Startup experience

Job description

About the role

AI has boundless potential to transform wealth management — but only if it’s trustworthy enough for a regulated industry to actually rely on.We’rean 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’refounded and led by operatorswho’vespent their careers at the top of the wealth and asset management industry — people building the platform they always wished existed.We’removing fast, and already live with design partners representing seriousscale.

What you’ll do

• Full-stack development. Buildacross our web and workflow products – front end, back end, andincreasingly the systems that support AI driven workflows.
• Solution and system architecture. Helpdecide how services, data, and agents fit together– notjustimplement 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 modelsthatareaccurate, extensible, and built to evolve.
• AI agents for real work. Build agentsthat handle multi-step business workflows and process unstructured documents.
• Build AI-forward by default. You’lltreat agentic tooling asagenuineforcemultiplier, not a novelty– writing specs that AI agentsimplement,andreviewingor directing their output.
• Operate as a business-focused technologist. You’llwork 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– howyou think about the design and structure of codematters morethan which language youknow.
• 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. Comfortablerepresentingthe team in front of clients andbusiness 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. Webuildand ship as a team.
• Genuine enthusiasm for AI-enabled engineering. Youdon’tneed deep experience with AI coding agents yet, butyoushouldbecomfortable with agents writing code alongsideyou,curious about howthey’rechangingthe craft.
• Real passion for AI. Evidenced by more than professional interest—be it through side projects, independent research, orhands-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. Actual compensation will depend on multiple factors including but not limited to the skills, experience, scope, and work location. M62AI offers competitive benefits, including highly subsidized healthcare, dental and vision insurance, generous paid time off, and 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.