Top AI & Machine Learning Jobs

Build and deploy production-scale LLM and ML systems: own end-to-end lifecycle, optimize GPU/Kubernetes deployments, implement production APIs, monitoring, CI/CD, collaborate with product, and set AI engineering best practices.

Build and deploy production-scale AI/LLM systems: own ML lifecycle from model development to serving, optimize GPU/Kubernetes deployments, design LLM applications and APIs with monitoring, apply CI/CD and version tracking, collaborate with product teams, and contribute to AI engineering best practices.

The Staff AI Software Engineer will own the full AI systems lifecycle, from model development to production deployment, focusing on NLP and generative AI solutions, while collaborating with cross-functional teams to optimize and drive solutions.

Lead end-to-end ML lifecycle for enterprise NLP and generative AI systems: prototype, fine-tune, deploy, and scale LLM/NLP solutions on GPU-backed Kubernetes cloud infrastructure while ensuring observability, CI/CD, performance, and cost efficiency.