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.

5–8+ years of experience in software engineering, with a focus on backend development.
Proven experience working with machine learning or algorithmic systems — ideally deploying models or integrating AI workflows into backend services.
Hands-on experience with LLMs and agentic architectures (e.g., building or orchestrating autonomous or semi-autonomous agents).
Experience with cloud-native environments (AWS, Docker, Kubernetes) and CI/CD pipelines.
Experience with Go is a strong advantage.
Track record of building scalable, reliable systems in fast-paced environments.
Strong problem-solving skills, creativity, and a deep curiosity about applying AI to real-world products.
Great communicator and collaborator who thrives in cross-functional R&D teams.