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Last checked Nov 4, 2026.

How We Work in Applied AI

• We care about people and outputs

• What matters is what you ship, not the time you spend on it

• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week

• Always ask why. The best solutions come from deep understanding, not from copying what worked before

• We say what we mean. Feedback is direct, timely, and given because we care

• No politics. Low ego, high standards

• We embrace an unstructured environment and find joy in it

About You

• You are fluent in English

• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products

• You have proven experience in AI or machine learning product implementation with APIs, back-end, and front-end interfaces

• You have experience tackling advanced RAG, building agentic use cases, or fine-tuning LLMs

• You have a deep understanding of the concepts and algorithms underlying machine learning and LLMs

• You have strong technical coding skills in Python

• You have strong communication skills, with an ability to explain complex technical concepts in simple terms to both technical and non-technical audiences

Ideally, you have

• Contributed to open-source projects, in particular in the space of LLMs

• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager

• Hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems

• A bias toward action and delivery - you ship fast

• The ability to operate independently with a customer-led mindset

• The ability to reuse internal building blocks and components effectively

• Strong problem-solving abilities and attention to detail

• A collaborative attitude

• Pentesting knowledge

• Experience developing a cybersecurity product

• Experience building agentic harnesses or multi-agent systems end-to-end

• A strong background in evals and benchmarking of agent systems

• Experience with security tooling or workflows

• Prior work on production AI systems in regulated or high-stakes environments

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page .

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .