Software Engineer, AI Engineer, Software Architect

Purpose Unlimited is an independent financial services company with an unrelenting focus on customer-centric innovation, delivered through technology-driven solutions. Led by entrepreneur Som Seif, the company is developing a diversified product platform aimed at addressing historically underserved segments of the market. Purpose Unlimited’s businesses include Purpose Investments, Advisor Solutions by Purpose, and Driven.

Vacancy Status:
This is a current opening.

You own the hardest technical problems in our consumer-facing product — setting the bar for how code ships, how architecture decisions get made, and how AI-augmented engineering works in a regulated environment. Impact is measured in product outcomes: performance, reliability, client experience. AI fluency is a baseline expectation; you lead how the team integrates it, handling the judgment, architecture, and craft that AI cannot replace.

• Product performance and reliability — own architectural decisions that move latency, uptime, and client-facing quality metrics.
• Technical direction for AI-augmented engineering — define tools, workflows, standards for AI-generated code, and how productivity is measured.
• Engineering craft and release safety — testing standards and observability practices that let the team ship weekly in a SOC 2 environment.
• Cross-cutting problem solving — shared abstractions, state management, platform tech debt, resolved without stalling delivery.
• Team capability and growth — mentorship, design feedback, and code review that raises the ceiling of what the team can do.
• Product partnership — pressure-test requirements before they become expensive commitments; advocate for technical quality as a driver of client experience.

• Generates boilerplate, test scaffolding, and routine implementations — you review, refine, and ensure production standards.
• Runs automated code quality checks, vulnerability scanning, and compliance flag analysis — you interpret results and make the call.
• Aggregates performance data, incident patterns, and release risk signals — you decide what to act on.
• Drafts documentation, RFC templates, and technical specs — you shape the thinking and ensure architectural coherence.

• Significant experience building consumer-facing software at scale, with architectural judgment from systems that serve real users under real load.
• Full-stack depth — you move between frontend, backend, and infrastructure when the problem demands it.
• Experience in a regulated industry (financial services, healthcare, or similar) — SOC 2 or ISO 27001 compliance as part of engineering quality, not friction.
• Track record of leading technical decisions: writing RFCs, driving alignment, knowing when to push for consensus vs. make the call.

• Fluency with AI-assisted development tools (Copilot, Claude Code, Cursor, or similar) and a formed perspective on how they change team dynamics.
• Experience governing AI-generated code quality in production — you’ve thought about when AI output is good enough and when human craft is required.
• Experience mentoring senior engineers; your leverage at this level is as much about team capability as your own code.
• You think in systems — understanding how technical decisions ripple through product quality and end-user experience.
• Degree in CS/Software Engineering or equivalent practical depth.

• Core platform uptime and latency measurably improved; release process introduces demonstrably less risk.
• Team has adopted AI-assisted workflows with clear quality and governance standards; engineering throughput measurably increased.
• At least two cross-cutting architectural decisions you led are in production and have reduced fragility or improved developer velocity.
• Engineers you mentor are taking on harder problems and shipping with more confidence.
• Product and design leaders actively seek your input before committing to technical approaches.

Innovation – You bringnew ideas, challenge the status quo, and find better ways of…