Senior AI Solution Engineer

We want to do things differently, focusing on what truly matters. We return to our roots with a sustainable corporate strategy at our core. Work-life balance, beginner’s mind, and community involvement are our identity and our starting point for this journey.

Key Responsibilities

• Lead the development and deployment of Agentic AI solutions, ensuring scalable, high-quality implementations aligned with business objectives.
• Drive the development of AI platform infrastructure and integrations with internal systems, establishing technical standards and best practices.
• Design and implement enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and machine learning technologies.
• Collaborate with engineering, platform, data science, and business teams to translate business challenges into practical AI use cases.
• Develop and maintain scalable AI-powered services and microservices architectures.
• Provide technical leadership, mentoring team members and supporting the adoption of AI technologies across the organization.
• Contribute to solution design, technical documentation, governance standards, and operational excellence for AI platforms.

Required Skills & Experience

• 5+ years of experience in agile software engineering with knowledge of the full engineering lifecycle.
• Experience translating business problems into AI use cases and technical solutions.
• Practical experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques.
• Working knowledge of Agentic AI systems and architectures.
• Experience with core machine learning concepts and implementations.
• Hands-on experience with Microsoft Azure cloud platforms and AI services.
• Strong DevOps capabilities and experience supporting software delivery pipelines.
• Experience developing microservices using Flask, Django, or Spring frameworks.
• Ability to work effectively in Agile delivery teams and iterative development cycles.
• Strong collaboration skills across engineering, data science, and platform teams.
• Capability to support solution documentation, governance, and technical handover activities.
• Problem-solving mindset focused on delivering practical, scalable, and business-driven outcomes.

Nice to Have

• AI/ML engineering certifications such as Azure AI Engineer, Google Cloud ML Engineer, or AWS Machine Learning certifications.
• Generative AI certifications or specialized training programs.
• GitHub Copilot Certification.
• Practical experience using GitHub Copilot and other AI-assisted development tools.
• Experience designing enterprise AI platforms and reusable AI capabilities.
• Strong analytical and problem-solving skills.
• Ability to translate complex technical concepts into practical business applications.
• Experience mentoring junior colleagues and supporting technical coordination activities.
• Proactive, curious, and committed to continuous learning.

Ready?team.it, back to basics! At Team IT, we stand for equality and value diversity. We create a safe and inclusive environment where opportunities are equal for everyone. We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit. All applications from candidates with the right skills for the role are welcome.

Apply here: Application Form

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