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We are looking for an Applied AI Engineer to join the MECI Interfaces team within the Software Engineering organization. The MECI Group enables our algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow us to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and developer well-being.
As an Applied AI Engineer, you will be at the forefront of integrating Large Language Models (LLMs) and agentic workflows into our internal platforms. Your primary goal will be to solve complex problems across the Software Development Life Cycle (SDLC) by building intuitive, AI-powered tools that directly support our developers and internal users. This role offers the unique opportunity to both expand the intelligence of our existing developer tools and architect entirely new workflows from the ground up in a highly technical, fast-paced environment.
What will your job look like?
Design, develop, and deploy AI-driven internal tools and agentic workflows that accelerate the SDLC and reduce friction for our developers.
Expand the capabilities of existing platforms by embedding smart, context-aware LLM features.
Identify high-impact bottlenecks across the engineering organization and build zero-to-one AI solutions to solve them.
Architect robust orchestration layers around LLMs, focusing on practical implementations of custom system "skills," tool calling, Model Context Protocol (MCP) integrations, memory management, and Retrieval-Augmented Generation (RAG).
Maintain a framework-agnostic approach, rapidly evaluating and adopting the most effective AI models, APIs, and open-source techniques as the landscape evolves.

we are looking for an experienced AI Solutions Architect to join our team and support the design and implementation of AI solutions across organizational systems. The role focuses on designing AI-based solutions to improve existing business processes, supporting development teams in implementing AI solutions, and defining scalable, secure, and compliant AI architectures. The position combines AI architecture, Cloud technologies, technical consulting, and cross-functional collaboration. This is not a pure hands-on development role; rather, it requires strong technical leadership, architectural thinking, and the ability to guide development teams throughout the implementation lifecycle.
Key Responsibilities
* Design and architect AI-based solutions for organizational and enterprise-wide use.
* Support development teams in planning and implementing AI solutions.
* Provide technical guidance and participate in POCs, including involvement at the code level when required.
* Define best practices and guidelines for the effective use of AI models.
* Develop technical procedures and guidelines for development teams while ensuring compliance with regulatory and information security requirements
* Design cross-organizational AI solutions, including solutions for making organizational data and information more accessible.
* Work with external vendors and partners on AI-based projects, including technical guidance, coordination, and quality control.
* Troubleshoot complex technical challenges and provide architectural solutions.
* Lead and coordinate technology initiatives and work closely with multidisciplinary teams.
* Support teams in adopting AI technologies and integrating them into existing systems and processes.