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Second Nature

Second Nature

via Remote Rocketship

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Staff Software Engineer, Engineering AI Team

Anywhere
Full-time
Posted 4/22/2026
Verified Source
Key Skills:
Software Architecture
API Design
System Architecture
Mentorship
Technical Writing

Compensation

Salary Range

$90K - 150K a year

Responsibilities

Design and develop core platform components and own rapid experimentation cycles to improve engineering velocity with AI integration.

Requirements

Senior-level engineering experience with strong system design, AI integration enthusiasm, pragmatic approach, and mastery of modern SDLC workflows.

Full Description

Job Description: • Build Core Platform Infrastructure: Design, develop, and ship core platform components, including workflow orchestration, third-party integrations, and sandboxed execution environments for AI agents. • Drive End-to-End Experimentation: Own the full lifecycle of rapid experiments (hypothesis → build → measure → iterate) to discover what meaningfully improves engineering velocity. • Maintain High-Quality AI Dev Loops: Leverage AI coding agents to write, refactor, and review code, maintaining the strong abstractions and opinionated architecture required for AI to be effective. • Ground AI in Reality: Act as the technical bridge between experimental AI capabilities and real-world engineering workflows, ensuring our tools solve actual pain points. • Full-Loop Ownership: Operate autonomously to take concepts from 0 to 1, delivering tangible improvements and clear signals on AI workflow efficacy without over-engineering the solution. Requirements: • Experience Level: Proven track record as a staff engineer with deep experience in software architecture and product development workflows. • AI-Native Engineering: Genuine enthusiasm for, and experience with, utilizing AI coding agents and integrating AI into daily development and debugging processes. • Technical Pragmatism: Strong system design instincts combined with a highly pragmatic approach; comfortable building quickly in ambiguous environments. • SDLC Mastery: Deep, practical experience with modern engineering workflows, including CI/CD pipelines, pull requests, debugging, alerting, and deployment strategies. • 0 → 1 Mentality: A demonstrated history of rapid prototyping, running learning loops, and taking ambiguous problem spaces to functional, shipped products. Benefits: • Health First: Medical, Dental, Vision, & Life Insurance; 401K Plan • Flexibility: Open PTO and sick days • Training: A supportive team to help you grow your career and unlock your full potential • Growth: The opportunity to get in on the ground floor of a fast-growing startup that’s designing and developing an exciting category

This job posting was last updated on 4/28/2026

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