AI Engineer

November 18

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3E

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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

• Lead Development of Secure, Autonomous AI Systems: Architect intelligent, agent-based tools leveraging solutions like Claude Code, MCPs, A2A, Gemini CLI, the OpenAI Agents SDK, and using Knowledge Graph concepts to solve complex, high-value problems. • Develop A2A Systems: Build frameworks to enable LLMs to work together internally and externally, increasing the reach of 3E-enabled generative AI systems. • Bridge Product & Engineering: Partner with Product, Engineering, and Customer teams to embed AI into tools that enhance usability, decision-making, and automation. • Build Seamless API Integrations: Create scalable, secure APIs that connect AI models with web applications, internal systems, and external platforms. Integrate these with MCP for agentic use. • Contribute to Responsible AI Practices: Stay current with AI advancements and help define responsible development standards, alignment strategies, and safety protocols.

🎯 Requirements

• Deep experience developing and deploying production-grade AI systems as a Software Engineer or Machine Learning engineer, or in a similar role • Hands-on experience with LLMs, generative AI, and agentic frameworks such as MCP, A2A, and 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. • Experience with agent orchestration frameworks such as Claude Subagents, AutoGen, or CrewAI. • Expertise in prompt engineering, context engineering, RAG pipelines, and optimization. • Expertise in 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

• Solve Complex, High-Impact Problems: Use AI to address mission-critical challenges that directly influence revenue and drive business value. • Work with Proprietary Data: Leverage exclusive datasets and real-world signals to build intelligent systems with lasting competitive advantage. • Learn from Proven Leadership: Partner with seasoned executives who’ve scaled AI and product teams at high-growth companies. • Best of Both Worlds: Experience the pace and innovation of a startup culture with the stability and resources of a trusted global enterprise.