Software Engineer -I (Gen AI)

Role:  Software Engineer – I ( Gen AI)

Location :  Dallas TX  - Hybrid role – Min 2 days in office.

Interviews:  Should be available for Onsite technical interviews. NO Video interviews for this role

Note :  Cannot consider OPT/CPT/H1 Visa candidates for this role. No Sponsorship available.

About Blue Yonder: 

Blue Yonder is a leading AI-driven global supply chain solutions software product company, recognized as one of Glassdoor’s and Texas’s “Best Places to Work.” 

With over a decade of experience in implementing AI, our solutions empower organizations to enhance agility, accelerate global expansion, and achieve business objectives. Our 2025 focus includes: 

• Enhancing AI and ML architecture for faster, more impactful decision-making. 

• Integrating AI to build resilient supply chains, transforming work through automation of complex tasks, and advancing sustainability by optimizing resources. 

• Revolutionizing the retail industry by transforming planning and operations, improving demand forecasting, inventory management, fulfillment, and enhancing customer experiences with personalized shopping, returns, and real-time insights. 

About the Role 

We are seeking an experienced Software Engineer to play a pivotal role in the development and implementation of Generative AI solutions at Blue Yonder. 

You'll work closely with researchers, product managers, and other engineers to transform state-of-the-art AI models into reliable, scalable, and user-friendly products. 

What you will do: 

• Develop and optimize AI inference systems for large language models and multimodal AI  
• Build robust APIs and services that power AI-driven features for supply chain management applications  
• Contribute to model fine-tuning, deployment, and monitoring workflows  
• Collaborate with cross-functional teams to define and execute product roadmaps  
• Knowledge of prompt engineering and AI safety/alignment techniques 
• Document code, algorithms, and methodologies for reproducibility and knowledge sharing.  
• Stay current with the rapidly evolving generative AI landscape 

Our Current Technical Environment 

• Software/Tools: Python, GitHub, Node.js, React.js, GitHub Actions, Codacy, GitHub Advance Security, Black Duck Hub, BlazeMeter, Artifactory, Ansible, Docker, etc. 

• Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture 

• Cloud Architecture: MS Azure (ARM templates, AKS, Virtual Networks, Event Hub, Azure AD) 

• Frameworks/Others: Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Snowflake 

What we are looking for: 

Required skills 

• Bachelor’s or Master’s degree in computer science, Engineering, or related field.  

• Min of 1 to 2+ years of proven experience in software engineering, with a focus on AI, machine learning, or data science.  

• Strong understanding of Generative AI concepts and techniques, with practical experience in developing and implementing Generative AI models and algorithms. 

• Knowledge of state-of-the-art generative AI models such as GPT*, LLama, Phi-2, Mistral

• Proficiency in programming languages used in AI and machine learning, such as Python, TensorFlow, PyTorch, etc.  

• Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX  

• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies  

• Understanding of distributed systems and performance optimization  

• Knowledge of modern software development practices including CI/CD, testing, and version control  

• Excellent problem-solving skills and attention to detail 

Preferred Skills 

• Experience working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark). 

• Strong problem-solving skills, analytical thinking, and attention to detail.  

• Strong  communication and collaboration skills, with the ability to work effectively in a team.  

• Self-driven with the desire to take ownership and ability to work across the full stack 

• Background in MLOps, model deployment, or model serving infrastructure  

• Expertise in optimizing high-performance, low-latency systems  

• Knowledge of prompt engineering and AI safety/alignment techniques  

• Contributions to open-source projects in the AI space 

If you're passionate about building the future of AI, we'd love to hear from you! 

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