Senior AI Software Engineer – iManage

We offer a flexible working policy that supports a healthy balance between personal and professional well‑being. This role requires in‑office presence on Tuesdays and Fridays to collaborate, connect, and learn from peers while maintaining flexibility for meaningful work‑life balance.

Responsibilities

• Owning the end‑to‑end ML lifecycle for AI systems from model development and evaluation through to scalable production serving, generative AI document intelligence, and agentic system use cases
• Deploying and optimizing ML/AI systems on GPUs and Kubernetes‑based cloud infrastructure, including AKS or equivalent platforms, while balancing trade‑offs across scalability, latency, performance, operational complexity, and cost efficiency
• Designing and implementing production‑ready LLM applications and APIs with monitoring, observability, and integration testing built in
...