About the Role
You embed directly with partner enterprises to identify and implement AI-driven solutions or process improvements using frontier technology. You build end-to-end systems, collaborating with Tetra Applied AI Researchers, and think like an operator while building like an engineer. The systems you create must integrate seamlessly into the organization, earning trust through direct engagement and reliable production performance.
Responsibilities
- Embed with partner organizations to understand their operations from the ground up: interview operators, shadow workflows, map how work and information move
- Diagnose where the real friction is, and where custom tooling or automation can drive down cost or accelerate revenue without headcount cuts or painful process change
- Design and build the systems yourself: backend services, integrations, data pipelines, and the interfaces operators actually touch
- Connect into enterprise systems: ERPs, CRMs, data warehouses, and whatever legacy stack the business runs on
- Own engagements end to end: from the first conversation with a COO to a running, reliable system handed off in production
- Own reliability, observability, and performance for what you ship: these systems run real operations and can't break at 3am
- Feed what you learn in the field back into Tetra's tooling and patterns so every engagement makes the next one faster
Requirements
- 3+ years building production software, with strong backend fundamentals (APIs, databases, cloud infrastructure, system integrations, etc.)
- Full-stack capability
- Strong Python in production, and comfort with cloud infrastructure (AWS, GCP, or Azure)-- containers, managed databases, CI/CD
- The judgment and presence to work directly with senior operators; you can sit with a CFO, push back without losing them, and leave the room having understood their business better than their last three vendors did
- First-principles thinking: you reason from the actual problem in front of you rather than reaching for a template
- A point of view on where modern AI and automation fit into enterprise workflows today, and where they don’t
- Based in the United States and willing to travel to partner sites as engagements require
Skills
- Python
- AWS
- GCP
- Azure
- Containers
- Managed databases
- CI/CD
- React
- Next.js
- LLM APIs
- Agent frameworks
- Enterprise system integrations
- REST APIs
- SOAP APIs
- Webhooks
- ETL pipelines
Location
- United States
Work Type
- Full-time
- Travel required
Experience Level
- 3+ years of production software development experience
About the Company
- Come transform modern industry with us.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
