Senior Software Engineer ML

About This Role

Design, build, and deploy production AI systems, focusing on generative AI and RAG, to enhance collaboration and decision-making for a remote-first product and engineering organization. This role involves owning systems from data ingestion through deployment and iteration, making a real product impact.

Responsibilities

• Build and deploy generative AI and RAG systems embedded into real user workflows
• Design and maintain scalable data pipelines for training, evaluation, and continuous improvement
• Implement human-in-the-loop processes to improve model quality and reduce hallucinations
• Partner with product and engineering teams to deliver high-impact, user-facing AI capabilities
• Contribute to training, inference, monitoring, and production deployment infrastructure

Requirements

• 5+ years building and shipping production machine learning systems
• Strong Python experience with PyTorch or TensorFlow
• Experience with LLMs, embeddings, retrieval systems, or ranking architectures
• Demonstrated ownership of ML systems end-to-end (data to model to serving to iteration)
• Comfortable mentoring others and raising the technical bar

Qualifications

• 5+ years building and shipping production machine learning systems

Nice to Have

• MLOps or ML infrastructure experience (CI/CD, observability, automation)
• Experience building AI systems in collaborative or workflow-driven environments

Skills

* Required skills

Benefits