Generative AI Specialist with 5-7 years’ experience in AI/ML engineering, data processing and LLM Models. In this role, you will design, deploy, and optimize AI agents using Large Language Models (LLMs) and complementary tools. A solid grounding in AI Engineering and MLOps is essential.
Our current technical environment:
- Advanced Python and SQL programming.
- React/TypeScript/Next.js (javascript frameworks) Knowledge for building intuitive user interfaces.
- Demonstrated expertise in integrating AI solutions into large-scale, complex systems with a focus on scalability and operational efficiency.
- Strong problem-solving, analytical, and communication skills.
What you’ll do:
- Architect and develop sophisticated AI agents leveraging LLMs and other Generative AI technologies to automate and optimize supply chain processes.
- Fine-tune and adapt LLMs for specific industry use cases, including instruction tuning, embeddings, and vector database integration. Demonstrates good understanding of the product and owns one or more modules
- Write efficient, clean, and production-ready Python code in accordance with best practices and organizational guidelines.
- Build user-friendly, scalable UIs with React and TypeScript to enhance AI-driven tools.
- Implement robust testing and automated pipelines to ensure solutions are scalable, maintainable, and reliable.
- Lead efforts to minimize infrastructure costs and optimize system performance for AI-driven applications.
What we are looking for:
- BE/B. Tech or ME/M. Tech with 5-7 years of experience in Software Development of large and complex enterprise applications.
- Professional experience in python, built or worked on AI applications/tools, integrations and data engineering, knowledge on LLMs with a strong focus on AI agentic workflows.
- Experience in building and deploying AI agents using frameworks like LangChain, LlamaIndex, and LangGraph.
- Hands-on experience with LLM training, fine-tuning, embeddings, and instruction tuning.
- Proficiency in cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).
- Solid background in traditional AI methodologies (e.g., classical machine learning, rule-based systems) to complement emerging agent-based solutions. Demonstrates problem solving and innovation ability.
- Ability to do R&D in latest developments in AI especially pertaining to new models or platforms being launched.
- Participates in company technical evaluations and coding challenges.
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.
Skills Required
- Bachelor’s or master’s degree in Engineering or Technology
- 5-7 years of software development experience with large, complex enterprise applications
- Professional experience with Python
- Experience building AI applications, tools, integrations, and data engineering solutions
- Knowledge of LLMs and AI agentic workflows
- Experience building and deploying AI agents with LangChain, LlamaIndex, or LangGraph
- Hands-on experience with LLM training, fine-tuning, embeddings, and instruction tuning
- Proficiency with AWS, Azure, or Google Cloud
- Experience with Docker and Kubernetes
- Background in traditional AI methodologies, including classical machine learning and rule-based systems
- Ability to conduct research into emerging AI models and platforms
- React, TypeScript, and Next.js knowledge
- Advanced SQL programming
Blue Yonder Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blue Yonder and has not been reviewed or approved by Blue Yonder.
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Leave & Time Off Breadth — PTO is described as generous or “unlimited” in the U.S., alongside paid holidays, sick time, and two paid volunteer days. These policies are often highlighted as strengths that support work–life balance.
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Flexible Benefits — Remote-work options and flexible arrangements are emphasized as part of the package. This flexibility is valued alongside compensation and can help offset middling pay for some roles.
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Healthcare Strength — Medical, dental, and vision coverage are provided, with mental health/EAP support and HSA/FSA options referenced. These core coverages are portrayed as solid and comprehensive.
Blue Yonder Insights
What We Do
Blue Yonder is the world leader in digital supply chain and omni-channel commerce fulfillment. Our intelligent, end-to-end platform enables retailers, manufacturers and logistics providers to seamlessly predict, pivot and fulfill customer demand. With Blue Yonder, you can make more automated, profitable business decisions that deliver greater growth and re-imagined customer experiences. Blue Yonder - Fulfill your Potential Blue Yonder’s tagline “Fulfill Your Potential” reflects the company’s mission to empower every organization and person on the planet to fulfill their potential. Each day, our global teams of associates and business partners work together to accelerate global economic growth, increase sustainability and prosperity with a Sonoran Spirit.
