SDE II - Python Developer

About the role

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world's largest global brands do business? Join us! Do you believe in the missions of intelligence agencies? Are you interested in building state-of-the-art NLP models and solving complex technical challenges? Do you want to be a part of our journey in shaping the future of Automated Customer Service? If you are interested in working on some of the most challenging technical and programmatic issues, we would love to discuss with you about the exciting work and career opportunities at Netomi. Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Requirements

• 3+ years of experience as a software engineer, with a focus on system design, coding, and best practices, preferably in a product development environment.
• Strong programming skills in Python or other relevant programming languages, with experience in building scalable systems.
• Experience collaborating with Data Scientists or working on projects involving data pipelines, with an understanding of how to support machine learning model deployment and data-driven systems from a software perspective.
• Proficiency in using key components of the tech stack including Elasticsearch, Redis, MySQL, and AWS services (e.g., EC2, RDS, S3, Lambda), with a deep understanding of system design principles.
• Excellent communication skills, with the ability to explain complex concepts to technical and non-technical stakeholders.
• Strong problem-solving and analytical skills, with a keen interest in continuous learning and skill development.
• Experience optimizing infrastructure and software deployment to reduce latency and improve cost efficiency.
• Optional : Experience with modern machine learning and data processing technologies such as Apache Airflow , Kubernetes , MLflow , and Hugging Face for managing machine learning workflows and distributed systems.

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