Software Engineer

About weframe

weframe builds custom AI/tech systems for business owners who know AI matters but haven't figured out where to start. We come from inside a fast-scaling tech company where we built AI systems that drove millions in revenue and replaced entire manual workflows. We know what works, what doesn't, and what it costs when nobody asks the right questions first.

Our delivery is hands-on and outcome-driven. We don't consult - we build. You'll be joining a small team where the quality of your work is visible immediately.

The Role

You'll embed directly into client engagements and build. Not scope and hand off, you will do the building. You'll report directly to our technical co-founder and work on live projects with real clients.

This is a contractor role. We care about what you can do today, not your trajectory. If your output is strong, there will be more work.

What You'll Do

• Embed with client teams to understand their workflows, systems, and real problems - not just their stated requirements
• Scope and build AI-powered solutions tailored to each client's specific context, data, and constraints
• Work hands-on across the stack: LLM integration, prompt engineering, evaluation pipelines, APIs, and data plumbing
• Make pragmatic architectural decisions that balance speed of delivery with maintainability
• Iterate based on client feedback - shipped software is the start of the work, not the end
• Monitor and maintain deployed systems post-launch; debug issues in client environments
• Work directly with the technical co-founder on delivery decisions

What We're Looking For

• Strong software engineering fundamentals - you write code that works and that others can follow
• Highly fluent with AI-assisted development: Claude Code, Cursor, Codex, or equivalent - you use these tools to ship faster without sacrificing quality
• Comfortable with ambiguity - you can walk into a messy problem without a spec and figure out what to build
• Experienced with LLM integration and prompt engineering in production environments, not just prototypes
• Strong communicator - you can explain a technical trade-off to a non-technical client without losing them
• Proactive in client settings - you ask the right questions early and dig below surface-level requests to find the real problem
• Security-aware - you treat compliance and secure-by-design as part of delivery, not an afterthought

How to Apply

Stage 1: CV + Send us something that shows us how you work. A GitHub profile or  a project you’ve shipped, and a short description of how leverage AI) 

Stage 2 - 20 min call with co-founder: Not a technical interview. A conversation. Give them a vague, real-ish client problem and listen for whether they ask good questions or jump to solutions.