- Own features end to end: clarify requirements, define specifications and acceptance criteria, implement, test, deploy, and support features in production.
- Develop new product functionality and extend or refactor existing systems in a large, long-lived codebase.
- Use AI coding agents as your primary development workflow, including coordinating multiple agents in parallel.
- Build and maintain agent workflows, including context files, tests, hooks, and conventions that enable safe and effective work within an established codebase.
- Design automated tests and evaluation loops to verify AI-generated code and prevent regressions before human review.
- Identify edge cases, detect agent failures, and ensure implementation quality through systematic verification and incremental changes.
- Make sound technical and product decisions, prioritize work, reduce unnecessary complexity, and challenge requirements when a simpler solution can achieve the desired outcome.
- Document your development workflow and share best practices that other engineers can adopt.
- 8+ years of experience building and operating production software, including senior or lead-level ownership of technical and product outcomes.
- At least 6 months of daily, agent-first development experience using tools such as Claude Code, Codex, Cursor Agent Mode, or similar solutions.
- Experience running multiple AI agents in parallel and integrating their output into reliable production software.
- A clear understanding of AI coding agents’ limitations and proven methods for managing risks through testing, evaluation, incremental changes, and code review.
- Strong experience working with large, established codebases, including refactoring, migrations, and legacy system constraints.
- Excellent testing practices and the ability to build verification systems that make AI-generated code trustworthy.
- Strong product judgment, including requirements clarification, specification writing, user-oriented problem solving, and scope management.
- Solid understanding of software security principles and experience working with sensitive data, such as health, financial, or personal information.
- Strong written English and the ability to create clear technical specifications for both AI agents and engineering teams.
- Experience with at least some of the following technologies: Python, Django, .NET, Angular, Kotlin, Swift, AWS, and SQL. Experience with adjacent technologies is also welcome.
- Availability for at least 4 hours of daily overlap with US Eastern Time.
- Experience with healthcare software or other HIPAA-regulated SaaS products.
- Experience building multi-tenant B2B SaaS applications.
- Experience developing custom AI agent tooling, MCP servers, hooks, or evaluation harnesses.
- Experience leading incremental migrations from legacy platforms using the strangler-fig pattern.
- Side projects that you have built, maintained, and continue to use.
- Ownership and accountability for outcomes, not just assigned tasks.
- An agent-first engineering mindset backed by evidence and measurable results.
- A strong focus on software quality, security, and reliability.
- The ability to simplify complex problems and deliver practical solutions.
- Clear communication, thoughtful technical decisions, and continuous improvement.
Apply now and join BekoreTech!
Poznaj
BekoreTech sp. z o.o.
We deliver high-end solutions with custom software development and services.