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Agentic AI Forward Deployment Engineering Lead - NETomi
Software Engineer
Lead the forward deployment of agentic AI solutions, driving end‑to‑end automation for enterprise CX. Leverage Python, ML, NLP, AWS, Kubernetes and CI/CD to deliver scalable, no‑code AI agents that transform customer journeys for top global brands.
About the role
Key Responsibilities
- Architect and lead the deployment of agentic AI solutions across cloud environments, ensuring high availability and scalability.
- Collaborate with data scientists to integrate advanced NLP and ML models into production pipelines.
- Design and maintain CI/CD workflows, containerization (Docker/Kubernetes) and infrastructure as code (Terraform/AWS CloudFormation).
- Mentor cross‑functional teams on best practices for AI model monitoring, performance tuning, and security compliance.
- Drive continuous improvement of deployment processes, reducing time‑to‑market for new AI features.
Requirements
- 5+ years of experience in cloud‑native AI/ML deployment, with strong Python programming skills.
- Proven expertise in AWS services (ECS/EKS, Lambda, SageMaker) and Kubernetes orchestration.
- Hands‑on experience building CI/CD pipelines using GitHub Actions, Jenkins or similar.
- Deep understanding of NLP techniques and model serving best practices.
- Excellent communication skills and a collaborative mindset for working with product, data science, and operations teams.
Skills
pythonmachine learningnlpawskubernetescicd