Senior Software Engineer- AI Products

About The Role

We're looking for a generalist software engineer who's most comfortable when the problem isn't fully defined yet. You'll work across the full stack, building product features, internal tools, integrations, and AI-assisted workflows that help our operations teams move faster and make better decisions.

This isn't a role with a fixed scope. At Flow, the best engineers jump across domains: backend one week, a new product surface the next, a scrappy internal tool the one after that. If you've spent your career in environments where work arrived pre-scoped and handed to you, this probably isn't the right fit. But if you've been the person on a small team who just figures things out, owns things end-to-end, and has strong opinions about how to build things well without over-engineering them, keep reading.

You'll be embedded with product and operations teams, translating real-world problems into working software. When a property manager says "tours are down this week," you won't just pull a report. You'll dig into the system, understand what's actually happening, and build something that makes the problem easier to solve next time.

We use AI coding tools like Claude Code and Cursor as force multipliers. That means strong written communication, clear prompts, clear documentation, clear stakeholder updates, is how you do your best work here. AI amplifies your impact when you communicate well. When you don't, it becomes a liability.

Responsibilities

• Build and ship product features across the stack: backend services, APIs, internal tooling, and lightweight frontend surfaces
• Design and own systems end-to-end, from initial architecture through deployment and iteration
• Collaborate directly with operations, leasing, and product teams to understand problems and ship solutions fast
• Build AI-assisted tools and workflows that surface insights, automate repetitive work, and help teams act with more confidence
• Make pragmatic architectural decisions and communicate tradeoffs clearly to both technical and non-technical stakeholders
• Use AI coding assistants to accelerate development while maintaining production-quality standards, knowing when to trust generated output and when to take over
• Adapt quickly as business priorities shift, taking on whatever the team needs most

Qualifications

• A generalist engineer with at least 5 years of experience. You've built across multiple layers of the stack and aren't precious about which one
• Came up at an early-stage startup or a scrappy, resource-constrained team where specialization wasn't an option. You've worn many hats and built end-to-end
• Energized, not overwhelmed, by ambiguity. You can take a messy problem, scope it yourself, and ship something real
• Proficient in Python and/or a strongly-typed backend language; comfortable with SQL, APIs, and cloud infrastructure (we're on GCP/Kubernetes)
• Experience integrating or building with LLMs and a practical sense of where AI tooling adds value and where it doesn't
• Strong written communicator. You write clear documentation, effective prompts, and can explain technical decisions without jargon

Skills

• Proficient in Python and/or a strongly-typed backend language
• Comfortable with SQL, APIs, and cloud infrastructure (we're on GCP/Kubernetes)
• Experience integrating or building with LLMs
• Strong written communicator

Benefits

• Comprehensive Benefits Package (Medical / Dental / Vision / Disability / Life)
• Paid time off and 13 paid holidays
• 401(k) retirement plan
• Healthcare and Dependent Care
• Flexible Spending Accounts (FSAs)
• Access to HSA-compatible plans
• Pre-tax commuter benefits
• Employee Assistance Program (EAP), free therapy through SpringHealth, acupuncture, and other wellness offerings