AI Data Solution Engineer

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Skills you'll use

What you'll do

• Design and implement AI‑powered data pipelines to extract, clean, enrich, and transform structured and unstructured data.
• Orchestrate LLMs to automate data manipulation, validation, and cross‑referencing tasks.
• Deliver polished, customer‑ready outputs in Excel, PDF, Word, and other business formats.
• Prototype emerging AI tools and approaches, translating proofs‑of‑concept into scalable solutions.
• Build and integrate full‑stack applications, connecting AI‑driven back‑ends to modern web interfaces.
• Design and optimize relational and vector databases to support AI workflows at scale.
• Contribute to best practices for code quality, documentation, and maintainable system design.
• Ready to make an impact? Apply today and join a team that combines technology, sustainability, and purpose to create a better future.

Who can apply

• Diversified information technology background and knowledge of EHS software, methodologies, domains and technology an advantage but not required. (Environmental Compliance, Industrial Hygiene and Safety, Occupational Health, Occupational Hygiene, Audit Management, Incident Management & Risk Assessment)
• Hands‑on experience working with large language models (OpenAI, Anthropic, Mistral, or open‑source equivalents).
• Deep understanding of embeddings, vector search, semantic similarity, and RAG architectures.
• Strong proficiency in Python with experience using async patterns, data libraries (pandas, polars), and AI SDKs.
• Experience implementing AI workflows using LangChain, LlamaIndex, or similar orchestration frameworks.
• Solid skills in SQL, relational data modeling, and performance optimization.
• Proven ability to generate and manipulate Excel, PDF, and Word documents programmatically.
• Experience building APIs using FastAPI, .NET, or Node.js and integrating them into production systems.

About ERM

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