What You’ll Do

Design, build, and maintain backend services and infrastructure that power our agent and AI systems.
Develop and deploy algorithms and models, integrating them seamlessly into production environments.
Collaborate closely with the AI research, product, and platform teams to design custom and proprietary solutions for our agents.
Work on end-to-end system architecture - from data pipelines and model serving to inference and optimization.
Contribute to the development of tools and frameworks for deploying, monitoring, and evaluating LLM-powered applications.
Drive innovation by improving agentic AI systems, advancing capabilities such as reasoning, autonomy, and coordination.
Experiment with and apply context engineering techniques to enhance LLM understanding, consistency, and performance in dynamic environments.
Bring research ideas into production reality through rapid prototyping and iteration.

What We’re Looking For

5+ years of experience in software engineering or technical problem-solving roles.
Strong fundamentals in software design, system thinking.
Experience working across systems, integrations, and data flows.
Comfort working directly with customers and owning ambiguous problems.
Clear communication skills and a strong ownership mindset.
Curiosity and interest in building AI-powered systems that work in practice.
Experience working in a fast-growing startup, with the ability to operate in a dynamic, fast-paced environment.