# Staff Software Engineer, Engineering AI Team

**Company:** [Second Nature](https://hotfix.jobs/companies/second-nature)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $150k – $180k/yr
**Skills:** Ai Coding Agents, Claude, Gemini, Workflow Orchestration, CI/CD, System Design, Pull Requests, Sandbox Environments, Third-Party Integrations, Integration Tests
**Posted:** 2026-04-22

> Staff engineer builds AI-driven platform infrastructure for SDLC transformation, owns end-to-end experiments using AI agents like Claude, and ensures high-velocity code delivery with strong abstractions and real-world grounding. Requires staff-level architecture experience and AI-native workflows.

## Job Description

## Key Responsibilities
- **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.

## Key Outcomes (first 90 days)
- Master our AI workflow: Integrate our AI tooling while rigorously auditing and refining AI-generated code and tests to meet our quality bar.
- Ship rapidly and reliably: Consistently deliver high-impact PRs with minimal rework by ensuring thorough local testing and CI/CD readiness before review.
- Plan with pragmatism: Adopt our norm of writing lightweight plans (outlining phases, trade-offs, and "good enough" criteria) for non-trivial work before coding.
- Own a full experiment: Drive at least one rapid learning loop completely from hypothesis and implementation to measurement and conclusion.
- Operate with high agency: Drive progress autonomously, raise blockers proactively in real-time, and maintain momentum without step-by-step direction.

## Key Outcomes (90+ days)
- Drive continuous experimentation: Run rapid learning loops that clearly connect your daily engineering output to measurable improvements in developer velocity.
- Own complex platform architecture: Autonomously take ambiguous problem spaces from concept to shipped product without over-engineering the solution.
- Set the quality standard: Cultivate an opinionated codebase with solid abstractions and high-value integration tests, actively filtering out low-value AI boilerplate.
- Optimize for speed: Consistently break down complex, multi-layered initiatives into manageable, high-velocity deliverables.
- Act as a force multiplier: Elevate the broader team's velocity through reliable execution, seamless end-to-end ownership, and transparent technical planning.

## About You
- **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.

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