AI Engineer

As an 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. You will collaborate closely with the Technology Leadership team, comprised of experienced AI leaders, to develop intelligent systems that provide real value to customers. Your work will involve orchestrating agent-based frameworks and integrating AI into product workflows. Your contributions will influence the future of customer operations, problem-solving, and competitive advantage. You will work quickly, think creatively, and help scale innovations that lead to meaningful outcomes for both customers and the company., * 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.

Do you have experience in Leadership?, * 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., * Solve Complex, High-Impact Problems: Use AI to address mission-critical challenges that directly influence revenue and drive business value.

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!, * 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.