AI Builder
Everfield · Remote · Poland- Warsaw | Remote ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Senior level
- AI-native workflow
- Agentic coding tools
- European B2B SaaS
Join Everfield’s central product team as a hands-on engineering force dedicated to the agent paradigm shift. You will partner with a Product Lead to jump into various business unit codebases, prototype using agentic coding tools, and ship end-to-end features for real customers.
The role focuses on speed and practicality, turning validated ideas into production-ready software in weeks rather than quarters. You will ensure clean handoffs to local engineering teams while helping codify a repeatable build playbook for the wider portfolio.
What you'll do
- Build agent-first products end to end within business unit codebases
- Prototype, ship, iterate, and hand off features rapidly
- Use agentic coding tools like Claude Code and SpecKit as default workflow
- Develop custom AI tooling where existing solutions are insufficient
- Collaborate directly with customers to iterate based on actual usage
- Work alongside BU engineering teams to ensure maintainability
- Translate validated concepts into shipped products in weeks
- Provide production-ready code and documentation for handoff
- Identify new build opportunities during current delivery cycles
- Help create a scalable build playbook for future builders
What you'll need
- Senior engineer with a track record of shipping real software
- Founder or near-founder experience with full product ownership
- Daily hands-on experience with agentic coding tools
- Ability to work across multiple tech stacks and languages
- Comfortable navigating and improving messy legacy codebases
- Experience demoing to customers and iterating on feedback
- 3 to 8 years of experience in engineering or hybrid roles
- Thrives in ambiguity and switches contexts between business units
Nice to have
- Experience in portfolio, accelerator, or multi-company environments
- Familiarity with B2B SaaS fundamentals
- Executive-level English proficiency
- Exposure to post-acquisition or M&A integration
- History of founded startups, including failed or acqui-hired ones
- Public technical work such as GitHub repos or conference talks
- Production experience integrating LLMs with evals and guardrails
Stack
- Claude Code
- Codex
- SpecKit
- LLMs
How you'll work
- Fully remote position
- Work closely with Product Lead as a peer pair
- No people management responsibilities
- Priorities set by HQ Product team and BU alignment
Hiring process
- TA screening call (30 minutes)
- Interview with Product Lead Operations (1 hour)
- Interview with AI Lead (30 minutes)