Senior AI Engineer

• Design, develop, deploy, and maintain AI agents and software solutions that enhance supply chain operations and technology
• Apply prompt engineering, Retrieval-Augmented Generation (RAG), LLM orchestration frameworks, MCP/function calling, evaluation techniques, and guardrails to optimize LLM integrations and build enterprise AI agents
• Incorporate software engineering, Dev Ops, and cybersecurity best practices, including CI/CD pipelines, source control, and secure coding standards
• Design and develop, or collaborate with data engineering teams to build, data models and pipelines supporting AI solutions
• Develop AI agent software and system integrations using Python, SQL, Flask, and FastAPI
• Build scalable and portable AI solutions using Docker and Kubernetes
• Partner with business and product stakeholders to understand requirements, identify opportunities, and educate teams on AI capabilities and best practices
• Collaborate with infrastructure, Information Security, and data engineering teams to define requirements and integrate AI solutions
• Communicate project status, risks, and opportunities with leadership and key stakeholders
• Own projects from concept through production deployment with minimal supervision
• Mentor junior engineers through code reviews, pair programming, technical coaching, and architectural guidance
• Stay current on emerging AI technologies and contribute to the organization’s AI strategy and roadmap

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field, or equivalent experience
• 3 to 5 years of experience in software engineering, AI/ML engineering, or data science
• At least 1 year focused on agentic AI development
• Hands-on experience with AI agent development frameworks such as Google's Agent Development Kit or OpenAI Agents SDK
• Knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication protocols
• Strong proficiency with cloud environments, preferably Google Cloud Platform (GCP); experience with AWS or Azure also considered
• Advanced experience with Python, APIs, SQL, system design, Dev Ops/AIOps practices
• Familiarity with JavaScript and modern frontend technologies
• Experience monitoring, troubleshooting, and optimizing production AI and software solutions
• Strong analytical, problem-solving, and decision-making skills
• Ability to manage multiple priorities and thrive in a fast‑paced, innovative environment
• Experience with advanced AI techniques, including fine‑tuning large language models and developing custom AI algorithms
• Familiarity with logistics, supply chain, warehouse management, or transportation management systems
• Experience with Snowflake and related data platforms
• Hands‑on experience with GCP Vertex AI Agent Builder
• Experience deploying enterprise‑scale AI solutions in production environments
• Background supporting AI governance, model evaluation, and responsible AI initiatives
• All applicants who receive a conditional offer of employment may be required to take and pass a pre‑employment drug test

Demonstrates expertise in AI agent development, software engineering, and cloud environments, with a strong focus on Python, SQL, and Dev Ops practices. Capable of collaborating with cross‑functional teams to design and deploy scalable AI solutions while adhering to best practices in cybersecurity and software development.

• AI Agent Development
• Python Programming
• Cloud Environments (GCP, AWS, Azure)
• Dev Ops Practices
• Data Engineering Collaboration

• Python
• SQL
• Flask
• FastAPI
• Docker
• Kubernetes
• AI/ML Engineering
• APIs
• Model Context Protocol (MCP)
• Agent Development Frameworks

• Analytical Skills
• Problem‑Solving
• Decision‑Making
• Project Management
• Mentoring

• Supply Chain
• Logistics
• Warehouse Management
• Transportation Management
• AI Governance

• Google Cloud Platform (GCP)
• AWS
• Azure
• Snowflake
• GCP Vertex AI Agent Builder