AI Engineer
Listed on 2026-01-02
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
AI Engineer
About 3E: We are a mission-driven company dedicated to creating a safer and more sustainable world! 3E provides award-winning regulatory expertise and cutting-edge technology that seamlessly integrates data and intelligence regarding chemicals, regulations, products, and supply chains for over 5,000 customers globally. With more than 35 years of experience and 15 locations across North America, Europe, and Asia, we are connecting our customers to a new class of expert‑led AI solutions, specifically designed to accelerate future product compliance with trust, speed, and domain authority.
About the Role:
Use AI to Transform How the World Works 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.
Why This Role Matters: You’ll work closely 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.
WhatYou’ll Do
- 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.
- Minimum Qualifications
- Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent experience in developing and deploying production‑grade AI systems or SaaS systems as a Software Engineer or Machine Learning engineer (or similar role)
- 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.
- Master’s degree or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
- Experience with agent orchestration frameworks such as Claude Subagents, Auto Gen, 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, Deep Seek, 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. - Work with Proprietary Leverage exclusive datasets and real‑world signals to build intelligent systems with lasting competitive advantage.
- Learn from Proven Leadership:
Part…
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