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Tech Stack
Tools & technologiesAWS
About the role
Key responsibilities & impact- You will embed across every team at Cachet, understand how we work at the detail level, and build the AI-powered infrastructure that makes us dramatically more efficient.
- This is equal parts listening, research, and engineering, you'll spend real time with stakeholders, earn their trust, diagnose what's broken or slow, and then ship something that fixes it.
- You will do the workflow diagnosis.
- You will shadow real work, spot inefficiencies, identify broken loops, and turn messy human processes into sharper, AI-augmented systems.
- On top of that, you'll build and maintain what we call the AI Brain: company-level intelligence systems that help Cachet remember decisions, retrieve context, avoid repeated work, and compound institutional knowledge in the right direction.
- Reporting directly to the CTO, you'll work within a clear strategic direction and have real autonomy in how you get there.
Requirements
What you’ll need- Mid+ or senior engineer with hands-on experience building with LLMs in production
- Proven ability to build and ship internal tools, agents, or automations end-to-end
- Comfortable with AWS and containerization; you can own infrastructure, not just code
- Experience integrating with SaaS tooling and internal APIs
- You default to building rather than workarounds and you know when not to build
- As comfortable in a 1:1 with a non-technical colleague as you are in a terminal, you translate between 'here's a problem' and 'here's what I'll ship'.
Benefits
Comp & perks- Flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
LLMsinternal toolsautomationinfrastructure managementAWScontainerizationSaaS integrationAPI integration
Soft Skills
listeningresearchstakeholder managementtrust buildingdiagnostic skillsproblem-solvingcommunicationtranslation between technical and non-technical
