Sr Software Engineer ( Gen AI

Position Title: Sr. Software Engineer (Gen AI and Machine Learning)

Location: Hybrid out of our Coppell, TX Office (LOCALS ONLY, will not consider NON Locals)

Note: Onsite interviews ONLY. No video interviews for this role.

Blue Yonder Retail Planning is a comprehensive software product designed to optimize and streamline the retail planning process. Leveraging advanced algorithms and AI, it empowers retailers to forecast demand, optimize inventory levels, and create accurate merchandise plans. With its robust features for assortment planning, replenishment optimization, and sales forecasting, Blue Yonder Retail Planning enables retailers to enhance their operational efficiency, improve customer satisfaction, and drive profitability in a dynamic retail environment.

We are looking for an astute individual with experience building and designing SaaS-native, and multi-tenant applications using microservices.

Looking for an experienced backend software engineer in Python/Java who has experience in the area of AI/ML in general. The ideal candidate would be well experienced with the usage of GenAI for coding, building software while adhering to best practices.

• Programming
  
  Languages:
  
  Python, Groovy, Bash
• Frameworks: Spring Boot, Spring Cloud
• Messaging Systems: Apache Kafka, Azure Event Hub
• Cloud Platforms: Azure, AWS, GCP (preferably Azure)
• Containerization: Docker, Kubernetes
• Databases: SQL (Azure SQL, PostgreSQL), No
  
  SQL (Elasticsearch, MongoDB, Snowflake)
• Build Tools: Gradle
• Version Control: Bit Bucket, Git Hub
• Continuous Integration/Deployment: Jenkins, Git Hub Actions
• Code Quality and Security: Sonar Qube, Codacy, Checkmarx, CodeQL
• Testing: Blaze Meter
• Artifact Repository: Artifactory
• Infrastructure Automation: Ansible

• Proficient with backend development with Python including API development, performance engineering, logging/telemetry.
• Apply ML/data science techniques (forecasting models, deep meta-learning) to improve forecast accuracy.
• Provide direct customer support - troubleshoot issues, handle escalations, and ensure planning outputs meet customer needs.
• Partner closely with stakeholders and customer/account management teams to translate requirements into delivered features.
• Use Git Hub Copilot and other coding agents to accelerate delivery, from JIRA issue to merged, reviewed PR.
• Contribute to GenAI agent development for supply chain planning use cases.
• Develop, enhance, and maintain the backend components of the Blue Yonder Retail Planning product, utilizing technologies such as Java, Spring Boot, and Spring Cloud.
• Contribute to the design and architecture of the backend systems, ensuring scalability, reliability, and maintainability of the software product.
• Integrate the Blue Yonder Retail Planning product with external systems, such as ERP and inventory management systems, by designing and implementing robust APIs to facilitate seamless data exchange and communication.
• Implement efficient data management strategies, including secure storage, retrieval, and processing of large volumes of retail data, utilizing SQL and No
  
  SQL databases, and optimizing system performance.
• Collaborate with the Quality Assurance team to design and implement comprehensive testing frameworks, ensuring high-quality code and adherence to coding standards and best practices.
• Troubleshoot and resolve backend-related issues reported by customers, addressing performance bottlenecks and ensuring system stability.
• Stay updated with the latest technologies, industry trends, and best practices in backend development, actively contributing to the continuous improvement and innovation of the Blue Yonder Retail Planning product.

• Bachelor's degree in a relevant field (STEM preferred) and a minimum of 6+ years of experience in software development.
• Strong programming skills and a solid background in Python coding.
• Strong AI/ML software development experience - forecasting, applied data science.
• Proven ability to work directly with stakeholders and customer/account management teams.
• Basic understanding of virtualization and experience with private, hybrid, and public cloud computing concepts. Familiarity with major cloud hosting platforms, particularly Azure, is preferred.
• Experience with backend frameworks such as Spring Boot and Spring Cloud, as well as messaging systems like Apache Kafka and Azure Event Hub.
• Proficiency in containerization technologies such as Docker and orchestration platforms…