Agentic-AI Harness Engineer

Requirements

• A track record of ML-research or strong, research-adjacent ML engineering.
• Experience with in-context learning, building agentic systems, applying ML models in complex, dynamic environments.
• Strong software engineering skills in Python and hands-on fluency with PyTorch.
• Sound judgment around evaluation, observability, reliability and production trade-offs.
• The ability to work directly with customers, researchers and product stakeholders.
• A pragmatic, outcome-oriented mindset: you optimize for dependable capabilities that users can actually adopt.
• 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:

• PFNs, synthetic data or probabilistic models.
• Weights & Biases, model registries, CI for models or comparable MLOps tooling.
• SDK or developer-tooling design.
• Prior startup, design-partner or 0-to-1 product experience.
• Own model releases, monitoring and rollback patterns as the production footprint grows.
• Experience with model serving, APIs, containers and cloud infrastructure.

Benefits

🚀 Where This Can Go

You will define how kausable ships ML: the patterns, tooling and standards between research and production. As the team grows, the role can expand into technical ownership of the model-to-product stack or leadership of a small ML product group. The trade-off is part of the job: shipping quickly matters, but only when the resulting system remains measurable, reusable and dependable.

🫂 Our Culture

We are "Putting Science at the Core of AI". 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 and access to the cloud compute required for the role.

⚒️ Tools and Infrastructure

• Python and PyTorch.
• Weights & Biases and model-evaluation tooling.
• Docker, AWS, RunPod and comparable cloud infrastructure.

🫶 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 over a number of online interviews, followed by an onsite day where we go in depth.

We are looking forward to hearing from you!

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