Invisible Technologies aims to improve the way they develop and deliver AI capabilities to customers, from prototyping to packaged software. They need to streamline engineering work for their platform and client engagements by building backend systems, supporting client-facing deployments, and enabling smoother workflows for machine learning solutions.
Requirements
- Demonstrated expertise with GenAI applications using Python.
- Experience designing web APIs and packaged libraries.
- Fluency in DevOps practices and tooling (CI/CD, observability, Infra as code, etc.).
- Experience building applications that work with Microsoft Office documents (Word, Excel, PowerPoint) preferred.
- Ability to strategize across multiple layers of abstraction and reduce complexity.
- 3+ years of experience in software engineering, ML engineering, or data-focused development roles, ideally previous projects supporting engineering users.
- Exposure to deploying machine learning models or supporting AI/ML workloads in production environments.
Responsibilities
- Contribute to the development of reliable, scalable backend systems that power machine learning workflows, agentic tooling, and data pipelines
- Help manage and improve cloud infrastructure to support efficient model deployment and operational stability in real-world environments.
- Collaborate with teams within Invisible and our clients to to build tools for developer enablement
- Author documentation to ease onboarding and user-friendliness of the tools we provide
- Partner with customer engineering teams to drive adoption and support their usage of our tools.
Other
- Strong communication skills and a collaborative mindset, with the ability to engage effectively across internal teams and external client environments.
- Ownership is at the core of everything we do.
- We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity.
- The pace is fast, the challenges are big, and the growth is unmatched.
- If you’re looking for predictable routines, this isn’t the place for you.
