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Role: Senior Software Engineer ( Gen AI)

Location : Coppell, TX - Hybrid role - LOCALS ONLY ( Min 2 days In Office ) NO REMOTE !!

Please Note: Onsite Interviews ONLY. No video interviews at this time.

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

• Design and implement scalable data pipelines for model training and evaluation

• Create developer tools and frameworks that enable internal teams to leverage AI capabilities

• Contribute to model fine-tuning, deployment, and monitoring workflows

• Collaborate with cross-functional teams to define and execute product roadmaps

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

• 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. This is not a Junior role.

• Min of 8 years of experience in software engineering, with a focus on Python development building APIs ( MUST)

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