remote
Senior AI Engineer - iManage
AI Engineer
Lead the design, development, and deployment of large‑scale generative AI and NLP solutions on AWS, driving innovation for enterprise document intelligence and conversational assistants.
About the role
Key Responsibilities
- Architect and implement end‑to‑end generative AI pipelines, from data ingestion to model serving, ensuring high availability and scalability on AWS.
- Collaborate with data scientists, product managers, and software engineers to translate business requirements into robust AI features for enterprise document platforms.
- Design and maintain production‑grade ML models, including fine‑tuning large language models and optimizing inference latency.
- Implement CI/CD workflows, containerization (Docker), and orchestration (Kubernetes) for continuous delivery of AI services.
- Monitor model performance, conduct A/B testing, and iterate on models based on user feedback and analytics.
Requirements
- 5+ years of experience building production AI systems, with a strong background in NLP and generative models.
- Proficiency in Python, PyTorch/TensorFlow, and experience with large language model fine‑tuning.
- Hands‑on experience deploying ML workloads on AWS (SageMaker, ECS/EKS, Lambda).
- Solid understanding of CI/CD, Docker, Kubernetes, and automated testing for ML pipelines.
- Excellent communication skills and a collaborative mindset for cross‑functional teams.
Skills
pythonmachine learninggenerative ainlpaws