Full Stack Engineer

At Impruve, we’re the trusted AI Steward for elite wealth management firms.

While most AI vendors chase scale with off‑the‑shelf tools, we go deep — building tailor‑fitted AI systems designed around each firm’s people, workflows, and client philosophy.

Our hybrid approach combines strategic AI consulting and custom agentic software to help RIAs turn everyday conversations, meetings, and data into a compounding growth engine.

We’re not just implementing note‑takers or dashboards — we’re helping firms design their AI operating system for the next decade of advisory work.

Impruve’s AI Stewardship framework was built from the ground up for RIAs, inspired by MIT’s findings that 95% of GenAI pilots fail due to poor “last‑mile” integration. Our work bridges that gap through close collaboration, secure firm‑specific builds, and a deep respect for the human side of advisory relationships.

Trusted by forward‑thinking RIAs to:

• Architect AI‑ready workflows and governance systems
• Build secure, custom “core agents” (note‑taker, CRM updater, email drafter, etc.)
• Develop off‑menu, firm‑specific automations that save hours weekly
• Elevate client experience while preserving the personal touch that defines great advisers

Deep partnership. Tailor‑fitted intelligence. Stewardship over hype.

We’re looking for a Full Stack Engineer who loves building thoughtful, reliable software — someone who moves easily between backend systems, data workflows, and front‑end product experiences.

You’ll help expand our AI‑powered platform, building custom automations and integrations that make it easier for professionals to act on what matters most. Comfort with light data engineering — structuring, enriching, and processing unstructured data — will be valuable as you help craft AI workflows that span multiple systems.

• Build and maintain REST APIs using Node.js/Express
  .
• Develop user‑facing experiences in Next.js 13+ App Router with Redux for state management.
• Work with Mongo
  
  DB (via Mongoose) and Redis to design and optimize data models, caching, and job queues.
• Implement and maintain integrations with systems like Salesforce, Slack, Zoom, Gmail, Outlook
  , and others.
• Collaborate on the design and implementation of custom AI workflows
  , connecting LLM‑generated insights to actionable automations.

• Build data pipelines to clean, transform, and enrich messy data from multiple sources.
• Support background jobs, queue processing, and event‑driven workflows.
• Help manage and deploy services using AWS ECS and containerized infrastructure.
• Improve reliability, logging, and monitoring systems.
• Work closely with the CTO on architectural and design decisions.
• Partner with product and design to create intuitive, high‑quality experiences.
• Contribute to engineering best practices and internal documentation as we scale.

Education: Bachelor’s in Computer Science, Engineering, or equivalent practical experience.

Experience: 2–6 years as a full‑stack or backend engineer in a modern web environment.

• Proficiency in Node.js, Express, and Type Script .
• Experience building and consuming REST APIs.
• Deep familiarity with MongoDB and schema design using Mongoose
  .
• Experience with Redis for caching and async processing.
• Front‑end experience with React/Next.js
  .
• Familiarity with AWS ECS, Docker, and CI/CD pipelines
  .
• Comfort working with structured and unstructured data.

• Experience building AI agents and agentic workflows
• Experience with ETL pipelines or lightweight data engineering.
• Interest in workflow automation and the intersection of AI + productivity.

You’ll join a small, fast‑moving team shaping how AI is practically adopted in professional industries. We move quickly, think deeply, and build intentionally.

You’ll work directly with the CTO and co‑founders, tackle meaningful technical challenges, and help architect the systems that power AI transformation across leading advisory firms.

If you love the craft of engineering, enjoy working close to the product, and want your work to have visible impact — this is your kind of team.

Apply on Linked In or send a short introduction and your resume or Git Hub profile to: …

We’d love to see what you’ve built and hear how you think.

Referrals increase your chances of interviewing at Impruve by 2x.

Seniority level:
Mid‑Senior level.

Employment type:

Full‑time. Job function:
Engineering and Information Technology.