Staff AI Engineer

Job not on LinkedIn

August 5

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Logo of 3E

3E

Chemical • Healthcare & Hospitals • Manufacturing

3E is a company that specializes in chemical and workplace safety solutions. They provide a range of services including chemical inventory management, SDS authoring, regulatory compliance tools, and product stewardship. Their focus is on helping organizations meet compliance standards, maintain safety, and enhance sustainability in their operations, particularly in industries dealing with chemicals and materials.

501 - 1000 employees

Founded 1993

📋 Description

•About 3E: •We are a mission-driven company with the purpose to enable a safer, more sustainable world! •3E provides a comprehensive suite of data, analytics, and software solutions for enabling and improving workplace & chemical safety, product stewardship, supply chain management and sustainability. •With over 35 years of experience, and 15 locations across North America, Europe, and Asia, 3E helps more than 5,000 customers in various sectors to achieve safety, sustainability, and speed to market. •Are you ready to shape the future? Come join us! •About the Role: Use AI to Transform How the World Works •As a Staff AI Engineer, you will play a critical role in turning powerful AI models and proprietary data into transformative, user-facing solutions. •This is a unique opportunity to operate at the intersection of product, engineering, and AI — with the support of experienced leadership, access to high-value data assets, and the autonomy to build from the ground up. •Why This Role Matters •You’ll work directly with our CTO, a seasoned AI leader and partner, cross-functionally, to create intelligent systems that drive real customer value. •From orchestrating agent-based frameworks to integrating AI into product workflows, your contributions will shape the future of how our customers operate, solve problems, and create competitive advantage. •You’ll move fast, think boldly, and help scale innovations that deliver meaningful outcomes for customers and the company.

🎯 Requirements

•Minimum Qualifications •7 – 10 + years of experience as a software engineer or data science engineer. •Deep experience developing and deploying production-grade AI systems. •Hands-on experience with LLMs, generative AI, and agentic frameworks such as MCP, A2A, the OpenAI Agents SDK. •Proven ability in AI infrastructure setting up production-grade model inference serving, MLOps pipelines, and shared services. •Solid understanding of AI safety, alignment, and ethical development practices. •Preferred Qualifications •Experience with agent orchestration frameworks such as Claude Subagents, AutoGen, or CrewAI. •Expertise in prompt engineering, context engineering, RAG pipelines, and optimization. •Expertise using and deploying open-source LLMs into production such as variants of Qwen, DeepSeek, Llama, Mistral, Gemma. •Familiarity with cloud-based AI tools (e.g., AWS Bedrock, GCP Vertex AI, Azure ML). •Experience integrating AI capabilities into legacy web applications, desktop applications and APIs.

🏖️ Benefits

•Health, dental, and vision insurance •Life insurance and disability coverage •Generous PTO accrual and paid parental leave •401(k) plan with company matching •Employee assistance program •Voluntary supplemental benefits (Accident, Hospital Indemnity, Critical Illness)

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