Hexion

AI Applications Developer

Hexion • $90K — $130K *
US-AnywhereRemote in Ohio, US
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field or equivalent experience.
  • 5+ years of professional software development or data/analytics engineering experience, particularly with LLMs or AI applications.
  • Strong proficiency in Python and experience with TypeScript or JavaScript for front-end development.
  • Knowledge of AI/agent frameworks such as LangChain or LlamaIndex.
  • Practical experience with LLM APIs including Azure OpenAI and Hugging Face.
  • Hands-on RAG experience with document parsing and hybrid retrieval using a vector database.
  • Strong SQL skills and familiarity with modern data platforms like Snowflake.

Responsibilities

  • Lead the development of AI-powered applications across various business functions.
  • Design and tune RAG pipelines over unstructured content.
  • Create domain-specific tools and connectors for enterprise systems.
  • Build user interfaces using Microsoft Copilot Studio or Power Apps.
  • Implement data validation and safety guardrails in applications.
  • Collaborate with product owners for requirement gathering and workflow translation.
  • Support deployment and operational monitoring of built applications.

Benefits

  • Fostering a learning culture and promoting AI fluency across the organization.
  • Opportunity to apply cutting-edge technology in real business scenarios.
  • Collaborative work environment with globally distributed teams.
  • Support for self-directed learning and keeping current in the fast-paced AI field.
Full Job Description
Position Overview

Lead 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.

Job Responsibilities

  • Build AI-powered applications that deliver agentic and generative AI capabilities to business users across commercial, supply chain, manufacturing, and R&D functions.
  • Develop 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.
  • Create 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.
  • Build user-facing surfaces with Microsoft Copilot Studio, Power Apps, Teams apps, Streamlit, or React - including chat interfaces, approval workflows, and result-review screens.
  • Implement data validation and guardrails at every tool boundary: schema checks, business-rule validation, content safety, PII handling, and explicit user confirmation for write operations.
  • Partner with product owners and subject-matter experts to gather requirements, translate workflows into agent execution plans, prototype rapidly, demo, gather feedback, and iterate.
  • Support 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.
  • Apply prompt engineering and evaluation to measure application quality - build test cases, run LLM-as-judge evals, and track regressions over time.
  • Document use cases, tools, and playbooks so applications remain maintainable and extensible by the team.
  • Collaborate across globally distributed teams through code reviews, pair programming, and shared technical standards.


Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field - or equivalent hands-on experience.
  • 5+ 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).
  • Strong proficiency in Python and comfort with TypeScript or JavaScript for front-end work.
  • Working knowledge of at least one AI/agent framework: LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI.
  • Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and structured outputs.
  • Hands-on RAG experience - document parsing, chunking, embeddings, and hybrid retrieval - with at least one vector database.
  • Comfort integrating with enterprise APIs such as ERP, BI platforms, SharePoint or Microsoft Graph, Teams, and REST/GraphQL services.
  • Solid SQL skills and working familiarity with a modern data platform (Databricks, Snowflake, or equivalent).
  • Self-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.
  • Strong problem-solving, communication, and documentation skills; comfortable demoing to business stakeholders and gathering requirements directly from subject-matter experts.
  • Familiarity with Git, CI/CD, and basic DevOps workflows.


Preferred Qualifications

  • Hands-on experience with Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, or Power Platform (Power Apps, Power Automate).
  • Experience with Azure AI Foundry agents or Palantir AIP Logic / Workshop applications.
  • Familiarity with Model Context Protocol (MCP), tool/function calling, and prompt registries.
  • Experience with LLM observability and evaluation tooling - LangSmith, Langfuse, Arize, or Weights & Biases.
  • UX sensibility - ability to design clean, low-friction chat and approval interfaces that business users actually adopt.
  • Exposure to Docker, containerized deployments, and infrastructure-as-code (Terraform or Bicep).
  • Public portfolio - GitHub projects, technical blog posts, or community contributions - demonstrating curiosity and hands-on experimentation in generative or agentic AI.
  • Prior experience delivering business applications in process industries, manufacturing, supply chain, or commercial analytics.


Other

About Hexion

Hexion is a global specialty chemicals company that produces a range of resins, adhesives, and other chemical products. The company's products are used in a variety of industries, including automotive, construction, and electronics. Hexion was formed in 2005 through the merger of two chemical companies, Borden Chemical and Resolution Performance Products. The company is headquartered in Columbus, Ohio and has operations in North America, Europe, and Asia.
Learn more about Hexion
Size
4,300 employees
Industry
Manufacturing & Automotive
Founded
1857
* Ladders Estimates

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