Job Overview
Job description
- Location:
- United States
- Work arrangement:
- Remote
Role Summary
Principal engineers at Invisible are able to follow multiple paths. Some of our Principal engineers are technical leads of teams and are responsible for people management of those teams. They oversee the technical vision for their area and ensure that there is proper mentorship
Other principal engineers lead through technical initiatives. These engineers oversee broad multi-team technical initiatives and own parts of our software stack (ex. Principal engineers might research and roll out new technical frameworks or might develop a new generation of our UI component library
Significant experience developing applications in team environments.
Able to work well with Product Managers to develop technical specifications for large projects with complex scope
Able to research and synthesize new technologies (frameworks, libraries, techniques) and explain and evangelize them to more junior engineers.
Experience using React for frontend development. (We use React, Next.js and Prisma)
Backend language experience including Node, Python (Flask/Django/etc.), Ruby on Rails, Symphony, etc.
Strong understanding of relational databases (MySQL, PostgreSQL, etc.)
Apply at
Invisible Technologies offers unusual services (a combination of outsourcing and automation) to fast-scaling, innovative companies. Each company understands and uses our services in a variety of ways. It’s critical we can communicate to segments of users with visually appealing, and highly communicative assets. You’re helping us explain the benefits of our product in a way that words alone never could.
- Role:
- Principal Software Engineer (Application Engineer) - Remote
- Job Type:
- Full Time
Company profile
Invisible Technologies
invisibletech.aiInvisible Technologies is an applied AI research company that helps enterprises put AI into production at scale. Its platform unifies fragmented data, maps complex processes, and orchestrates and evaluates agents, backed by a flexible human layer of experts screened by skill, language and domain. These experts label training data for frontier models, stress-test AI systems and handle edge cases. Founded in 2015, the company says it has trained over 80% of the world's top AI models, and its listed address is in San Francisco.
- Company Size
- 200 - 500 employees
- Founded
- 2015
- Founders
- Francis Pedraza