Sr Software Engineer

About the Job

Blue Yonder is seeking a highly skilled AI/Prompt Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions. This role requires a deep understanding of AI/ML technologies, data analysis, software development, and cloud computing.

What You'll Do

• Design and implement AI/conversational AI and ML solutions to address business challenges, improve customer experience, and enhance operational efficiency.
• Develop and maintain machine learning models using frameworks such as TensorFlow, Keras, and PyTorch.
• Collaborate with cross-functional teams to identify opportunities for AI/ML solutions and develop prototypes and proof-of-concepts.
• Develop and maintain data pipelines and ETL processes to support AI/ML workflows.
• Must have experience in Python, RAG, Vector DB, LangChain/LangGraph.
• Monitor and optimize model performance, accuracy, and scalability.
• Stay current with emerging AI/ML technologies and assess their potential impact on the organization.
• Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures.
• Demonstrate deep experience in the GitHub ecosystem, including Actions, Packages, Advanced Security, and CI/CD pipelines.
• Provide technical guidance and mentorship to data engineering and software development teams.
• Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows.
• Provide technical guidance and mentorship to other team members.

Industry Experience

Knowledge in Supply Chain Planning products is considered an advantage. Possess basic knowledge of relevant industry domains and customer business processes.

What We Are Looking For

• Bachelor’s degree in Computer Science, Information Technology, or a related field with 8-12 years of experience, including 5+ years in conversational AI engineering, design, and implementation.
• Proven expertise in the GitHub ecosystem: Actions, CI/CD pipelines, repo governance, and workflow automation.
• Hands-on experience in DevOps with containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform) for scalable, reliable cloud deployments.

Technical Skills

• Experience with Python (must), Oracle DB, Java.
• Strong analytical and problem-solving skills.
• AI/ML: Azure AI, RAG, Vector DB, LangChain/LangGraph, ResponseAPI.
• Evaluation & Observability: Eval framework, Langfuse, ELK Stack.
• DevOps: GitHub ecosystem, CI/CD Pipeline, VC, branching strategies.
• Infrastructure Automation: Docker, Kubernetes, Terraform.
• Understanding of scripting languages – Unix Shell Scripting, PowerShell, Python, etc.

Key Responsibilities

• Architect, design, and deploy AI Agents.
• Build and maintain GitHub-based CI/CD pipelines and automation workflows.
• Lead DevOps transformation with GitHub Actions as the backbone of release engineering.
• Integrate AI-driven capabilities into enterprise SaaS supply chain platforms.
• Implement evaluation models, observability, and feedback loops for AI performance optimization.
• Ensure high reliability and scalability of mission-critical AI and SaaS solutions through SRE practices.
• Mentor and guide junior engineers in AI agents, GitHub DevOps, and SaaS reliability.

Soft Skills

• Excellent communication and interpersonal skills for interacting with global customers, business users, and internal personnel, with an emphasis on follow-through and reporting.
• Collaborates relentlessly, passionately, and respectfully with various BY teams, customers, and partners.
• Leads by example, demonstrating professionalism in internal and external conversations, understanding cultural differences and diversity.
• Balances soft skills (process, people, values, teamwork, roles) with hard skills (technologies, frameworks, solutions, products).
• Self-motivated and a quick learner, adaptable to new technologies, platforms, and integrations.