2 months ago
Remote, United StatesSenior
Responsibilities
- Build AI-powered agentic and generative AI applications for commercial, supply chain, manufacturing, and R&D users.
- Develop RAG pipelines using document parsing, chunking, embeddings, hybrid search, and reranking over enterprise content.
- Create domain-specific tools, connectors, and Model Context Protocol servers for ERP, planning, analytics, content management, and custom APIs.
- Build chat interfaces, approval workflows, and result-review screens using Microsoft Copilot Studio, Power Apps, Teams apps, Streamlit, or React.
- Implement schema checks, business-rule validation, content safety, PII handling, and confirmation controls for write operations.
- Partner with product owners and subject-matter experts to gather requirements, prototype solutions, demonstrate applications, and iterate on feedback.
- Deploy, operate, monitor, and troubleshoot applications on Azure AI Foundry or Container Apps with tracing and logging.
- Develop prompt-engineering and LLM evaluation processes, including test cases, LLM-as-judge evaluations, and regression tracking.
- Document use cases, tools, and playbooks and collaborate through code reviews, pair programming, and shared technical standards.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent hands-on experience.
- At least 5 years of professional software development or data/analytics engineering experience, including recent hands-on LLM or AI-powered application work.
- Strong Python proficiency and comfort with TypeScript or JavaScript for front-end development.
- Working knowledge of at least one of LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI.
- Practical experience with Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face APIs and structured outputs.
- Hands-on RAG experience with document parsing, chunking, embeddings, hybrid retrieval, and at least one vector database.
- Experience integrating ERP, BI, SharePoint, Microsoft Graph, Teams, REST, or GraphQL services.
- Solid SQL skills and familiarity with Databricks, Snowflake, or an equivalent modern data platform.
- Strong problem-solving, communication, documentation, stakeholder-demo, and requirements-gathering skills.
- Familiarity with Git, CI/CD, and basic DevOps workflows.
- Preferred qualifications include Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, Power Platform, Azure AI Foundry agents, Palantir AIP Logic or Workshop, MCP, tool/function calling, prompt registries, LLM observability and evaluation tools, Docker, Terraform, Bicep, and business application delivery in process industries, manufacturing, supply chain, or commercial analytics.
- A public portfolio such as GitHub projects, technical blog posts, or community contributions demonstrating generative or agentic AI experimentation is preferred.
Benefits
- Equal Opportunity and Affirmative Action employer.
- Employment offers are contingent on successful completion of a drug test and background investigation.
- Periodic background checks may be required under CFATS or other applicable regulations.
- Candidates must be at least 18 years of age and apply through the company career site.
Tech Stack
Categories
About Hexion
Hexion is a Columbus, Ohio–based, privately held chemical manufacturer that supplies adhesives, epoxy resins, and other performance materials to industrial customers in construction, furniture, energy, and automotive markets. It sells specialty resins and binders with technical support, and also develops an industrial AI platform spanning connectivity, edge, and cloud to improve manufacturing operations. The company operates globally.