FULLTIME
Sr Software Engineer

Blue Yonder
Not specified · onsite · Posted today
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Section · 01
About this role
Scope Blue Yonder is building next-generation AI-powered retail solutions that leverage
Computer Vision, Image Processing, OCR, and Vision-Language Models (VLMs) to automate shelf image recognition and generate actionable business insights. As a
Senior Software Engineer – Computer Vision Expert , the individual will build scalable backend services and AI integration layers that enable end-to-end workflows for image ingestion, image decomposition, object recognition, and automated planogram generation. The role will work closely with AI researchers, product teams, and global engineering teams to productionize machine learning models into enterprise-grade applications.
Our Current Technical Environment Programming & Frameworks
- Python
- FastAPI / Flask
- REST APIs
AI & Computer Vision
- PyTorch
- OpenCV
- YOLO and other Object Detection Models
- OCR Technologies
- Vision-Language Models (VLMs)
- Embedding Models
- Image Processing Libraries
AI Integration
- Large Language Models (LLMs)
- Prompt Engineering
- AI Model Inference APIs
- AI/ML Model Productionization
Data Engineering
- SQL
- Data Modeling
- Large-scale Retail Datasets
Architecture & Platform
- Microservices Architecture
- API-driven Workflows
- Docker & Kubernetes (Preferred)
- CI/CD Pipelines
- Cloud Platforms (Azure/AWS Preferred)
What You'll Do
- Design and develop scalable microservices for Computer Vision and AI-powered image processing.
- Build image ingestion, preprocessing, and recognition pipelines for retail shelf images.
- Integrate OCR, Vision-Language Models (VLMs), and AI models into backend workflows.
- Develop REST APIs using Python (FastAPI/Flask).
- Productionize machine learning models and collaborate with AI teams to deploy them into enterprise applications.
- Leverage LLMs for business rule translation, scenario simulation, and workflow automation.
- Design scalable data models and optimize SQL queries for large retail datasets.
- Identify and resolve performance, scalability, and security challenges.
- Build reliable, secure, and cloud-native backend services following engineering best practices.
- Collaborate with global cross-functional teams to deliver innovative AI-powered retail solutions.
Required Qualifications What We Are Looking For
- Bachelor's or Master's degree in Computer Science or a related field.
- 6+ years of software engineering experience with strong backend development expertise.
- Proven experience building production-grade AI-enabled applications.
Technical Skills
- Strong Python programming skills.
- Experience with FastAPI or Flask.
- Expertise in Computer Vision, Image Recognition, Image Processing, and OCR.
- Hands-on experience with PyTorch, OpenCV, YOLO, or similar frameworks.
- Experience integrating AI/ML models into production environments through APIs.
- Strong understanding of Vision-Language Models (VLMs) and LLM integration.
- Prompt Engineering experience for structured AI outputs.
- Strong SQL and Data Modeling skills.
- Solid understanding of Microservices Architecture and API-driven systems.
Preferred Qualifications
- Experience with Azure, AWS, or GCP.
- Familiarity with Docker, Kubernetes, and CI/CD pipelines.
- Experience with MLOps practices.
- Retail domain knowledge, particularly in shelf analytics, planogram automation, or category management, is an added advantage.
Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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Section · 02
Skills
Section · Company
About Blue Yonder

Blue Yonder
Software Product
3.8k+
employees
1985
41 years old
Scottsdale, Arizona
United States (USA)
About
Industries
Employee ratings
682 reviews
Culture
3.5
Career growth
2.8
Work-life
3.7
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