Sr. AI & Machine Learning Engineer

Feeding the world is what we do – how we do it is unique. We are not your textbook consumer packaged goods company. While others may be slow to make change happen, Post continuously drives both inorganic and organic growth. Our history is evidence of that fact with over 100 years of heritage and growth from brands that transcend generations like Honey Bunches of Oats, Fruity Pebbles, Malt-O-Meal, Bob Evans, Kibbles 'n Bits, Egg Beaters, Peter Pan peanut butter and more. Our foodservice and ingredient businesses supply other products you love for brands, restaurants and stores.

We have more than 55 offices and manufacturing sites and approximately 13,000 employees. Over the past 13 years, Post has made 28+ acquisitions and innovative financial transactions and reached $8.2 billion in net sales in fiscal 2025. During turbulent times of market uncertainty, the food industry has provided a level of stability unlike other industries

Post Holdings, Inc. is a Fortune 500® company headquartered in Brentwood, a suburb of St. Louis, Missouri. Our casual professional atmosphere encourages team members to collaborate, innovate and support our operating companies. Our passion and drive advance the reputation of our operating companies and brands—together, we make a difference.

Build AI-Powered Business Solutions

• Develop predictive, optimization, forecasting, recommendation, computer vision, and generative AI applications
• Design and implement agentic workflows, copilots, and intelligent applications
• Transform high-value business opportunities into scalable production solutions
• Work directly with business stakeholders to define requirements and measure outcomes

Engineer Production-Ready Systems

• Design, build, test, and maintain software applications that incorporate machine learning and AI capabilities
• Develop APIs, services, orchestration layers, and enterprise integrations
• Build user-facing applications that enable employees to interact with AI systems
• Create reusable components and frameworks that accelerate AI delivery across the enterprise

Operationalize Machine Learning

• Develop model training, deployment, evaluation, monitoring, and retraining workflows
• Establish engineering and CI/CD standards for AI application development
• Implement model observability, performance monitoring, and operational controls
• Ensure AI systems remain reliable, secure, maintainable, and cost effective

Partner Across Enterprise AI

• Collaborate with Product Managers, Data Scientists, Architects, Security, and Platform teams
• Contribute to enterprise AI standards, approved development patterns, and governance processes
• Evaluate and prototype emerging AI technologies, translating promising advances into practical, scalable business solutions
• Guide technology adoption by recommending where new AI capabilities fit within the architecture, roadmap, and business priorities
• Help establish repeatable practices that enable AI delivery at scale
• Mentor engineers and elevate AI engineering capabilities across the organization

Required:

• Bachelor’s degree in Computer Science or a related technical field
• 7+ years of software engineering experience
• Experience building production applications used by business users
• Strong proficiency in Python
• Experience designing APIs, services, integrations, and distributed systems
• Experience deploying machine learning models into production environments
• Experience with cloud platforms such as Azure
• Strong software engineering fundamentals including testing, code quality, version control, and system design

Preferred:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field
• 5+ years of experience with data structures/algorithms
• 3+ years of experience in a technical leadership role leading project teams and setting technical direction
• Experience building generative AI applications using Azure OpenAI, OpenAI, Anthropic, or similar platforms
• Experience with AI agents, orchestration frameworks, and Retrieval-Augmented Generation (RAG)
• Experience with MLOps practices and machine learning lifecycle management
• Experience with React, TypeScript, or modern web application frameworks
• Experience with enterprise data platforms such as Snowflake, Databricks, or Fabric
• Experience working in manufacturing, supply chain, consumer goods, logistics, or enterprise operations

 This is a hybrid role based in St. Louis, Missouri. In office days are Tuesdays, Wednesdays, and Thursdays.

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