Overview:
- Blue Yonder is looking for an experienced Sr Gen AI Engineer to contribute to the design, development, and implementation of agentic AI-driven solutions at Blue Yonder.
- This role is not a research role and requires being hands-on and building agentic AI POCs from the ground up to demonstrate the “art of the possible” and business value**.
- The Sr Gen AI Engineer will design, prototype and deploy agentic AI solutions that address customer pain points across Blue Yonder’s global customer base.
- This role will work on cutting-edge projects that push the boundaries of Generative AI and machine learning in the supply chain and retail domains.
What you’ll do:
- Design, build and rapidly iterate agentic AI solutions (including orchestration, MCP, A2A) logic and evals using proprietary/open source LLMs and open source agentic frameworks (Autogen).
- Demo your solutions to wider business and to customers to get feedback and rapidly iterate to improve the solutions.
- Collaborate with other team members and supply chain experts to refine Agentic AI solutions and customise your solution to improve fit to a given business problem.
- Research and establish coding standards, best practices, and technical documentation for building reliable and trustworthy agents.
- Evaluate and recommend new technologies to improve our development ecosystem.
- Integrate AI solutions with our existing platform and products.
What we are looking for:
Required Skills
- Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a STEM related field.
- Minimum 3+ years
of experience in data science/machine learning/Gen AI with a strong understanding of the Gen AI development ecosystem.
have strong proficiency in
development using Python and ML libraries (pandas, numpy, sklearn, Pytorch, transformers, Hugging Face, LangChain etc.)
- Strong knowledge of LLMs, prompt engineering, RAG, LLM evaluations/ monitoring.
- Experience with cloud platforms (AWS, GCP, or Azure) and Github.
- Proven track record of shipping products powered by LLMs, RAG systems, and/or AI agents is a big plus.
- Comfortable with working in a startup environment embedded within an enterprise.
- Passion for pushing the boundaries of AI and a commitment to staying at the cutting edge of industry trends and technologies.
Preferred Skills
- Familiarity with CI/CD pipelines and automated testing strategies.
- Familiarity with monitoring, logging, and observability tools for LLMs.
- Previous experience with working on data science problems in supply chain context
- Strong communication skills and ability to explain complex technical concepts.
- Contributions to open-source projects in the AI/ML space