Senior/Staff Full Stack Developer

M62AI; New York (NY); On-site; USD 160,000 - 300,000; Full time

Benefits offered by this job

Healthcare

Dental and vision insurance

Equity

Generous paid time off

Job summary

M62AI is building AI infrastructure for wealth management to move fast with control, accuracy and accountability. We are an early-stage startup led by operators from wealth management with design partners at scale.

Role involves full-stack development, system architecture, data modeling, and building AI agents for real workflows. Expect collaboration with clients and a fast-paced, tech-forward environment.

Qualifications

• Strong engineering fundamentals and design patterns; focus on structure over language.
• Proficient in at least one of Java, Kotlin, JavaScript, TypeScript.
• Experience designing relational schemas and PostgreSQL or similar databases.
• Domain knowledge in wealth management or fintech adjacent spaces.
• Clear communication with clients & business stakeholders.

Responsibilities

• Full-stack development across web and workflow products (front end, back end, AI-driven systems).
• Define solution and system architecture; decide how services and data fit together.
• Data modeling and database design for the platform; translate wealth-management concepts into data models.
• Build AI agents for multi-step business workflows and unstructured documents.
• Write specs for AI agents and review their outputs; promote AI-forward tooling.
• Engage with clients and commercial stakeholders as a regular part of the role.

Skills

Strong engineering fundamentals

Java / Kotlin / JavaScript / TypeScrip

Data modeling & relational DB design

Wealth management / wealth-tech domain

Client & stakeholder communication

Ability to work under pressure

Team collaboration & mentoring

Interest in AI-enabled engineering

Genuine passion for AI

AI-driven workflows

Tools

AWS

Terraform

Job description

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.

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 don't 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. 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.