remote
Staff Enterprise AI Engineer - Agentic Workflows & Productivity - Calix
AI Engineer
Lead the design and deployment of AI‑powered agentic workflows for telecom operators, leveraging Python, ML, NLP, and AWS to automate operations, enhance subscriber experiences, and drive revenue growth.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI agentic workflows that automate complex telecom processes across the Calix One platform.
- Develop and maintain scalable ML models and NLP pipelines in Python, integrating them with AWS services for real‑time inference.
- Collaborate with product, data, and engineering teams to translate business requirements into technical solutions that deliver actionable insights.
- Ensure high availability, performance, and security of AI services in a cloud‑first environment.
- Mentor junior engineers, conduct code reviews, and promote best practices in AI/ML engineering.
Requirements
- 5+ years of experience building production‑grade AI/ML systems in a cloud environment.
- Proficiency in Python, TensorFlow/PyTorch, and NLP libraries (spaCy, Hugging Face).
- Hands‑on experience with AWS services such as SageMaker, Lambda, and Step Functions.
- Strong understanding of data engineering concepts and experience with data pipelines.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningnlpaws