AI Solutions Engineer

TRADEBE • Chicago, IL

1d • $100,000 - $125,000

About The Position

Tradebe is a group of industrial businesses with the commitment of creating a more sustainable planet and making significant contributions to human wellbeing. In the US, we are leaders focused on recycling and circular economy, managing all different environmental liabilities in a sustainable way.

What will you do? Make an impact!
As an AI Solutions Engineer, you will accelerate business value delivery by rapidly turning ideas into AI-enabled applications, workflow automation solutions, and modern digital capabilities. Working closely with business leaders, operational teams, IT, and Global Digital Innovation teams, you will design, prototype, and deploy practical AI-powered solutions that improve operational efficiency, simplify workflows, and modernize legacy processes.

This role is highly hands-on and execution-focused. You will rapidly translate ambiguous business problems into scoped experiments, MVPs, and scalable production-ready solutions. You will work across the full solution lifecycle: from idea and prototyping through deployment, operationalization, monitoring, and continuous improvement.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent hands-on experience preferred.
• 3+ years of hands-on software development experience across backend, frontend, and data layers.
• 1+ years of experience delivering applied AI solutions such as Generative AI, Retrieval-Augmented Generation (RAG), AI-assisted automation, intelligent search, or workflow orchestration solutions.
• Experience building and integrating solutions using APIs, AI frameworks, orchestration platforms, and enterprise data sources.
• Experience modernizing or replacing legacy/internal applications with scalable, maintainable solutions.
• Proven full-stack development capability building APIs, user-facing applications, workflow automation solutions, and data-driven platforms.
• Proven ability to rapidly prototype, pilot, and iterate solutions with business stakeholders from idea through production deployment.
• Strong communication and collaboration skills with the ability to translate technical concepts into practical business outcomes.
• Ability to thrive in a fast-paced environment while balancing multiple priorities and rapidly evolving technologies.

Nice To Haves

• Experience with cloud platforms, low-code/no-code automation tools, orchestration frameworks, observability tooling, or enterprise integrations is a plus.

Responsibilities

• Develop and deliver rapid AI prototypes and demo-ready MVPs that validate business value quickly and support fast iteration with business stakeholders.
• Translate ambiguous business challenges into working solutions, and scalable applications.
• Build, deploy, and maintain AI-enabled applications, workflow automation solutions, and user-facing tools that improve operational efficiency and business processes.
• Develop end-to-end solutions leveraging modern AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), APIs, orchestration frameworks, and AI-assisted automation.
• Replace or simplify legacy internal applications with fit-for-purpose solutions while implementing AI-assisted workflow automation and modern user experiences.
• Design solutions that reduce manual effort, simplify complex workflows, and improve usability for business users.
• Integrate AI solutions with enterprise applications, operational platforms, and data environments while ensuring solutions are scalable, secure, maintainable, and production-ready.
• Establish observability, monitoring, governance, and operational controls to support long-term reliability and supportability.
• Partner with business teams, BRMs, IT, architecture, security, and Global Digital Innovation teams to align technical solutions with operational needs and governance standards.
• Serve as a technical translator between business stakeholders and technical teams to accelerate solution adoption and execution.
• Support AI governance initiatives including approved tools and models, vendor evaluation, data privacy, security controls, and value realization tracking.
• Ensure AI deployments align with company security, compliance, and operational standards.
• Ensure solutions meet operational requirements for accuracy, resiliency, maintainability, usability, and cost efficiency.
• Continuously iterate and improve deployed solutions based on business feedback and operational performance.
• Upskill IT teams and business stakeholders through hands-on collaboration, reusable templates, practical examples, and build-together approaches.
• Help establish reusable patterns and best practices that enable broader AI adoption across the organization.

Benefits

• Competitive pay and benefits
• Student loan repayment assistance
• Generous vacation and sick plans
• Medical (including telehealth), dental and vision
• 401k Retirement match
• Flexible spending accounts (FSA)
• Health savings accounts (HSA)
• Agency paid, basic life and AD&D insurance
• Career ladders, professional development, and promotion opportunities
• Leadership opportunities
• Great work environment and culture
• bonus potential

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level