About the Role
kausable is moving from a pure research lab toward products used by real customers. As our Software Engineer for Enablement and Product, you will own two closely connected scopes:
- Enablement: Build internal platforms and tools that improve developer workflows — in a sense, products where the customers are your research and science colleagues.
- Product: Build externally shipped functionality. You’ll work on the software layer around our AI: the applications through which users interact with our AI and the delivery infrastructure that unlocks them.
The boundary with our ML Product Engineer is deliberate. That role owns model serving, evaluation, and inference. You own the adaptable software systems through which researchers build and users experience those capabilities.
What You’ll Do
- Build customer-facing applications and integrations from scoping through delivery.
- Build internal platforms and tools that reduce setup time and cognitive load for researchers.
- Improve researcher experience through reproducible environments, CI/CD, automation, and clear repository standards.
- Design APIs, workflows, and frontend interfaces that keep complex model capabilities usable.
- Contain technical debt through thoughtful abstractions, testing, and documentation.
- Act as a technical bridge between researchers, product stakeholders, and the people using what we build.
Requirements
- Broad software engineering experience across backend, infrastructure, and at least one modern frontend stack.
- Deep understanding of software design and complexity management; you build systems that remain easy to change.
- Strong Python skills plus TypeScript, JavaScript, or another modern frontend language.
- Experience with containers, cloud infrastructure, and production delivery.
- A track record of customer-facing or cross-functional project work.
- Clear communication, strong problem-solving skills, and a pragmatic, self-directed operating style.
We are primarily hiring at senior level. We are also open to exceptional candidates with fewer years of experience who can demonstrate comparable depth, judgment, and ownership.
Nice to Have
- Experience with internal developer platforms, research tooling, or ML infrastructure.
- Experience with experiment tracking, data tooling, or reproducible compute environments.
- C++ or Rust experience for performance-sensitive services and tooling.
- Enough exposure to ML systems to collaborate productively with researchers without being expected to build models.
- Prior startup, consulting, or solutions-engineering experience.
Where This Can Go
You will shape how kausable builds and ships software as we scale — including our architecture, tooling, standards, and developer experience.
The role can grow into ownership of our platform and internal engineering, or into leadership of customer-facing product delivery. The hard part is balancing both horizons: helping the team move today while keeping the system adaptable tomorrow.
Our Culture
We are “Putting Science at the Core of AI” — with all its curiosity, daringness, and humanity. That means we:
- Are scientists at heart, with a builder’s mindset.
- Are open to challenge, grounded in curiosity and respect.
- Welcome diverse perspectives and value thoughtful, open debate.
- Focus on outcomes and real-world impact.
- Foster an environment of support, inspiration, and freedom for everyone to do their best work.
Perks & Benefits
- VSOP equity: A real stake in what we build.
- 30 days of paid holiday per year.
- Statutory social insurance.
- Conference travel and role-relevant learning.
- Flexible hybrid work, with roughly one in-person team meet-up per month.
- A high-end laptop of your choice.
Tools & Infrastructure
- Python and a modern frontend stack.
- Docker, AWS, GCP, Hetzner, RunPod, or comparable infrastructure.
- CI/CD, testing, and developer-tooling systems.
- AI agents such as ChatGPT, Claude, and Gemini in daily work.
Sounds Like It’s for You?
Send us your favorite way to drink coffee along with your CV or LinkedIn, and we’ll get back to you soon.
If it’s a match, we’ll get to know each other through a number of online interviews, followed by an onsite day where we go in depth.
We are looking forward to hearing from you!
