As an AI Engineer, you will be at the heart of building, evaluating, and scaling the AI capabilities that power our platform. You will work across the lifecycle of AI agent development — from prototyping and prompt design to evaluation, deployment, and monitoring — ensuring our customers can ship reliable, production-ready AI experiences.
You will work with technologies such as Python, TypeScript, LLM orchestration frameworks, vector databases, RAG pipelines, evaluation suites, and observability tools. You'll help shape how AI agents behave, perform, and evolve in real-world environments.
Design, implement and refine AI agent behaviors (prompting, tools, memory, reasoning loops)
Build and maintain RAG pipelines, retrieval strategies, and model integration layers
Create automated evaluation and monitoring systems to guarantee reliability in production
Develop internal tooling to help teams prototype, test, and improve agent workflows
Collaborate with product and engineering teams to enable new AI-powered features
Stay up to date with the latest advancements in LLMs, embeddings, multimodal models, and agent architectures
2–3 years of experience in AI Engineering / Machine Learning
Strong skills in TypeScript & Python, and familiarity with LLMs, RAG, or AI agent frameworks
Experience evaluating models or building pipelines involving LLMs (personal projects count!)
Ability to design reliable, deterministic behaviors on top of non-deterministic models
Comfortable working across the stack when needed (from data ingestion to API integration)
Passion for building AI systems with a strong product mindset → shipping fast, iterating, learning
Independent, curious, and proactive
1. Apply via the careers page
2. A quick call with the CTO to introduce the team and mission
3. A deeper interview with the CTO covering background, skills, and expertise
4. A casual meet-up with the Founders/Tech team to finalize the fit
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