{"schemaVersion":"jobsearcher.job.v1","id":"7a7546e5a2231f8f7cc618bb","url":"https://jobsearcher.com/jobs/7a7546e5a2231f8f7cc618bb","canonicalUrl":"https://jobsearcher.com/jobs/7a7546e5a2231f8f7cc618bb","title":"AI Applications Developer","description":"Company Overview\n\nImagine Everything. Build the Future with Hexion.\n\nAt Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.\n\nThis is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.\n\nWe don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.\n\nWe invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.\n\nYour Future Starts Here.\n\nIf you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong.\n\nAnything is possible when you imagine everything.\n\nPosition Overview\n\nLead Hexion’s enterprise Agentic AI and automation strategy—architecting and scaling agentic AI capabilities, identifying automation opportunities across all business functions, championing AI fluency and a learning culture, and overseeing the execution and KPI governance of automation initiatives to deliver measurable business value across the organization.\n\nJob Responsibilities\nBuild AI-powered applications that deliver agentic and generative AI capabilities to business users across commercial, supply chain, manufacturing, and R&D functions.\nDevelop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as product specs, Safety Data Sheets, standard operating procedures, emails, and meeting transcripts — using parsing (Azure Document Intelligence, Unstructured), chunking, embeddings, hybrid search, and reranking.\nCreate domain-specific tools and connectors (including Model Context Protocol servers) that expose enterprise systems — ERP, planning, analytics, content management, and custom APIs — as safe, well-documented actions for AI agents to call.\nBuild user-facing surfaces with Microsoft Copilot Studio, Power Apps, Teams apps, Streamlit, or React — including chat interfaces, approval workflows, and result-review screens.\nImplement data validation and guardrails at every tool boundary: schema checks, business-rule validation, content safety, PII handling, and explicit user confirmation for write operations.\nPartner with product owners and subject-matter experts to gather requirements, translate workflows into agent execution plans, prototype rapidly, demo, gather feedback, and iterate.\nSupport deployment and operations of the applications you build: package for production on Azure AI Foundry or Container Apps, add tracing and logging, monitor usage and quality, and respond to production issues.\nApply prompt engineering and evaluation to measure application quality — build test cases, run LLM-as-judge evals, and track regressions over time.\nDocument use cases, tools, and playbooks so applications remain maintainable and extensible by the team.\nCollaborate across globally distributed teams through code reviews, pair programming, and shared technical standards.\nMinimum Qualifications\nBachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field — or equivalent hands-on experience.\n5+ years of professional software development or data/analytics engineering experience, including recent hands-on work with LLMs or AI-powered applications (professional projects, internships, or substantive personal projects).\nStrong proficiency in Python and comfort with TypeScript or JavaScript for front-end work.\nWorking knowledge of at least one AI/agent framework: LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI.\nPractical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and structured outputs.\nHands-on RAG experience — document parsing, chunking, embeddings, and hybrid retrieval — with at least one vector database.\nComfort integrating with enterprise APIs such as ERP, BI platforms, SharePoint or Microsoft Graph, Teams, and REST/GraphQL services.\nSolid SQL skills and working familiarity with a modern data platform (Databricks, Snowflake, or equivalent).\nSelf-directed learner who stays current with a fast-moving field, can teach themselves new frameworks with minimal guidance, and ships working software without hand-holding.\nStrong problem-solving, communication, and documentation skills; comfortable demoing to business stakeholders and gathering requirements directly from subject-matter experts.\nFamiliarity with Git, CI/CD, and basic DevOps workflows.\nPreferred Qualifications\nHands-on experience with Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, or Power Platform (Power Apps, Power Automate).\nExperience with Azure AI Foundry agents or Palantir AIP Logic / Workshop applications.\nFamiliarity with Model Context Protocol (MCP), tool/function calling, and prompt registries.\nExperience with LLM observability and evaluation tooling — LangSmith, Langfuse, Arize, or Weights & Biases.\nUX sensibility — ability to design clean, low-friction chat and approval interfaces that business users actually adopt.\nExposure to Docker, containerized deployments, and infrastructure-as-code (Terraform or Bicep).\nPublic portfolio — GitHub projects, technical blog posts, or community contributions — demonstrating curiosity and hands-on experimentation in generative or agentic AI.\nPrior experience delivering business applications in process industries, manufacturing, supply chain, or commercial analytics.\nOther\n\nWe are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.\n\nTo be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.","company":"Hexion","rawCompany":"hexion","city":"Freeport","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-08-27T10:33:13.141Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Applications Developer","description":"Company Overview\n\nImagine Everything. Build the Future with Hexion.\n\nAt Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.\n\nThis is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.\n\nWe don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.\n\nWe invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.\n\nYour Future Starts Here.\n\nIf you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong.\n\nAnything is possible when you imagine everything.\n\nPosition Overview\n\nLead Hexion’s enterprise Agentic AI and automation strategy—architecting and scaling agentic AI capabilities, identifying automation opportunities across all business functions, championing AI fluency and a learning culture, and overseeing the execution and KPI governance of automation initiatives to deliver measurable business value across the organization.\n\nJob Responsibilities\nBuild AI-powered applications that deliver agentic and generative AI capabilities to business users across commercial, supply chain, manufacturing, and R&D functions.\nDevelop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as product specs, Safety Data Sheets, standard operating procedures, emails, and meeting transcripts — using parsing (Azure Document Intelligence, Unstructured), chunking, embeddings, hybrid search, and reranking.\nCreate domain-specific tools and connectors (including Model Context Protocol servers) that expose enterprise systems — ERP, planning, analytics, content management, and custom APIs — as safe, well-documented actions for AI agents to call.\nBuild user-facing surfaces with Microsoft Copilot Studio, Power Apps, Teams apps, Streamlit, or React — including chat interfaces, approval workflows, and result-review screens.\nImplement data validation and guardrails at every tool boundary: schema checks, business-rule validation, content safety, PII handling, and explicit user confirmation for write operations.\nPartner with product owners and subject-matter experts to gather requirements, translate workflows into agent execution plans, prototype rapidly, demo, gather feedback, and iterate.\nSupport deployment and operations of the applications you build: package for production on Azure AI Foundry or Container Apps, add tracing and logging, monitor usage and quality, and respond to production issues.\nApply prompt engineering and evaluation to measure application quality — build test cases, run LLM-as-judge evals, and track regressions over time.\nDocument use cases, tools, and playbooks so applications remain maintainable and extensible by the team.\nCollaborate across globally distributed teams through code reviews, pair programming, and shared technical standards.\nMinimum Qualifications\nBachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field — or equivalent hands-on experience.\n5+ years of professional software development or data/analytics engineering experience, including recent hands-on work with LLMs or AI-powered applications (professional projects, internships, or substantive personal projects).\nStrong proficiency in Python and comfort with TypeScript or JavaScript for front-end work.\nWorking knowledge of at least one AI/agent framework: LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI.\nPractical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and structured outputs.\nHands-on RAG experience — document parsing, chunking, embeddings, and hybrid retrieval — with at least one vector database.\nComfort integrating with enterprise APIs such as ERP, BI platforms, SharePoint or Microsoft Graph, Teams, and REST/GraphQL services.\nSolid SQL skills and working familiarity with a modern data platform (Databricks, Snowflake, or equivalent).\nSelf-directed learner who stays current with a fast-moving field, can teach themselves new frameworks with minimal guidance, and ships working software without hand-holding.\nStrong problem-solving, communication, and documentation skills; comfortable demoing to business stakeholders and gathering requirements directly from subject-matter experts.\nFamiliarity with Git, CI/CD, and basic DevOps workflows.\nPreferred Qualifications\nHands-on experience with Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, or Power Platform (Power Apps, Power Automate).\nExperience with Azure AI Foundry agents or Palantir AIP Logic / Workshop applications.\nFamiliarity with Model Context Protocol (MCP), tool/function calling, and prompt registries.\nExperience with LLM observability and evaluation tooling — LangSmith, Langfuse, Arize, or Weights & Biases.\nUX sensibility — ability to design clean, low-friction chat and approval interfaces that business users actually adopt.\nExposure to Docker, containerized deployments, and infrastructure-as-code (Terraform or Bicep).\nPublic portfolio — GitHub projects, technical blog posts, or community contributions — demonstrating curiosity and hands-on experimentation in generative or agentic AI.\nPrior experience delivering business applications in process industries, manufacturing, supply chain, or commercial analytics.\nOther\n\nWe are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.\n\nTo be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.","datePosted":"2026-08-27T10:33:13.141Z","dateModified":"2026-08-27T10:33:13.141Z","hiringOrganization":{"@type":"Organization","name":"Hexion","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Freeport","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7a7546e5a2231f8f7cc618bb"},"url":"https://jobsearcher.com/jobs/7a7546e5a2231f8f7cc618bb"}}