AI Engineer

Overview:

We are excited to be looking for an AI Engineer, to contribute to the design, development, and implementation of AI-driven solutions at Blue Yonder. This role could be ideal for a recent PhD graduate or engineers with equivalent experience in computer science, data science, or AI.

In this role, you'll architect, build, and optimize advanced AI systems that push the boundaries of generative technology. You'll collaborate with researchers to transform cutting-edge AI models into robust, scalable products that deliver exceptional value.

As a key player in the Blue Yonder AI Innovation Studio, you will work on cutting-edge projects that push the boundaries of Generative AI and machine learning in the supply chain and retail domains. If you love to code and have a passion for innovation and problem-solving then we would love to hear from you. Please note - this is not a research role.

What you’ll do:

• Architect and implement high-performance systems for deploying and serving large language models and multimodal AI.
• Design scalable infrastructure for model inference, fine-tuning, and evaluation.
• Rapid prototyping of AI agents & gen AI experiences.
• Integrate AI solutions with our existing platform and products.
• Optimize systems for latency, throughput, and resource efficiency.
• Implement safeguards, monitoring, and evaluation frameworks for AI systems.
• Collaborate, review, and improve engineering outputs.
• Contribute to technical decision-making and long-term AI infrastructure strategy.

What we are looking for:

• A strong foundation in software engineering skills, design patterns, and building scalable systems.
• Expertise in Python with strong Backend experience.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies.
• Familiarity with prompt engineering, AI alignment, or AI safety techniques.
• Strong academic projects/publications demonstrating LLMs, RAG systems, and/or AI agents.
• Background in MLOps, including model deployment pipelines and monitoring infrastructure.
• Comfortable with working in a startup environment embedded within an enterprise.
• Strong communication skills and ability to explain complex technical concepts.
• Passion for pushing the boundaries of AI and a commitment to staying at the cutting edge of industry trends and technologies.