Post Holdings
From Post Holdings's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Business Unit Overview
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
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
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.
#LI-hybrid
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
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
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.
#LI-hybrid
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