Source description
About the role
Full ownership, front to back
Build complete features end-to-end: APIs, business logic, data models, and the interfaces that users actually touch.
Move fluidly between backend services (Java, Python) and modern frontend work without needing a handoff to unblock yourself.
Ship features you can point to — visible, real, in production.
AI-native development as a core skill
Use AI coding assistants and LLM-powered workflows as a genuine part of how you build — across the stack, across the lifecycle.
Lean on AI to accelerate the parts of the stack that are less familiar: generate a solid starting point, validate your approach, and iterate from there.
Develop one of the most marketable engineering skillsets available right now — with the team and the mandate to go deep on it.
Hard problems in a meaningful domain
Work at the intersection of identity, trust, and compliance — problems with real stakes and technical depth.
Design and build systems where correctness matters: data integrity, verification workflows, and integrations with external providers.
Contribute to architecture discussions with a practical point of view, and grow your instincts by working alongside engineers who've seen these patterns before.
Continuous growth
Pair with senior engineers who are invested in your development, not just your output
Participate actively in code reviews and design conversations — your perspective matters here.
Build fluency across the stack in a production environment, with real feedback loops.
More at Evident