Junior Product Engineer | Software Engineer I
As a Product Engineer (SDE1), you’ll help shape and deliver features for the GRID platform through specification-driven, agentic development. You’ll understand customer and business problems, translate them into precise specifications, and guide AI agents through implementation. You’ll remain accountable for the resulting product: reviewing agent output, validating behavior, refining requirements, and ensuring the solution delivers customer value. This role is not a traditional software development position centered on manually writing code. Its core responsibilities are using judgment to define what should be built, directing agentic development, and ensuring what ships solves customer problems.
Location
Atlanta, GA
Remote
Job Duties and Responsibilities
- Collaborate with product, design, engineering, and customer-facing teams to shape the right outcomes.
- Define clear problem statements, requirements, acceptance criteria, and implementation constraints.
- Break initiatives into small, independently deliverable increments for agent execution.
- Direct AI agents through iterative development workflows.
- Review generated implementations for correctness, maintainability, security, and alignment with the specification.
- Validate results through tests, demonstrations, and customer-focused evaluation.
- Diagnose failures to improve context, specifications, and the agent harness.
- Other duties as assigned by management
Required Education and Experience
- Bachelor's or master's degree in computer science or related field.
- 0-4 years of experience building and maintaining production software systems.
- An AI-native mindset and genuine interest in building software through agentic workflows.
- Strong ability to turn ambiguous problems into precise specifications and measurable acceptance criteria.
- Proficiency with software engineering so you can evaluate agent-produced architecture, data flow, tests, edge cases, and security.
- Comfort iterating quickly, learning from failures, and improving instructions based on results.
- A high standard for reviewing and validating work rather than accepting generated output at face value.
- Clear communication, sound judgment, ownership, and a collaborative mindset.