Kustomer is hiring a
Software Engineer

Summary

The job is for a Full-stack AI Engineer at Kustomer, a fast-growing conversational CRM company that empowers businesses to deliver personalized service across multiple channels. The role involves collaborating with cross-functional teams to improve the platform's AI features and requires 5+ years of software development experience.

Requirements

• 5+ years of software development experience
• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
• Strong proficiency in one of the modern server-side languages such as Go, Python, JavaScript
• Strong understanding of software engineering principles, design patterns, and best practices for building scalable and maintainable code
• Experience building applications and features using LLM APIs
• Experience with RESTful API development, integrating with external services and databases
• Familiarity with cloud platforms, such as AWS or Azure
• Familiarity with version control systems, such as Git, and collaborative development workflows
• Ability to diagnose and debug complex issues, optimize application performance, and identify areas for improvement

Responsibilities

• Work with Product to improve the roadmap to stay innovative in terms of AI features across the platform
• Prompt tuning and optimization - developing and integrating tools to better analyze our LLM prompt queries to improve observability within the platform
• Improvements and new implementation of our AWS AI/ML for sentiment analysis, language detection, and automated translations
• Improvements to our NLP intent identification models, pipeline, and integration with existing features
• Analyze data for developer experience and org level business metrics within our data warehouse
• Developing techniques to fine tune generative AI models with platform data
• Prototype new advancements in AI technology and build new products to keep up with the fast-changing ecosystem

Preferred Qualifications

• You have Github activity showing thoughtful, relevant contributions
• Strong proficiency in AWS services such as EC2, S3, Lambda, API Gateway, Glue, Athena
• Strong understanding of data modeling and ETL processes
• Familiarity with machine learning
• Familiarity with privacy and security risks in AI
• Familiarity with Agile methodologies and working in an agile team environment

Benefits

• Competitive salaries, stock options
• 100% healthcare coverage
• 401K
• WiFi and Mobile reimbursement
• A generous vacation policy