Create the unified platform where users discover, evaluate, access, and manage available services, tools, and applications from a single interface – web-based, CLIs, or even MCPs
Translate client requirements into scalable, maintainable technical solutions. Make informed architectural and technology decisions, balancing business goals, existing systems, technical constraints, budgets, and delivery timelines.
Perform lifecycle for our different CI/CD tools (running on different platforms such as Microsoft Azure, Kubernetes or Virtual Machines on premise) to ensure security, availability, and maintainability of the platforms
Create the unified platform where users discover, evaluate, access, and manage available services, tools, and applications from a single interface – web-based, CLIs, or even MCPs
4+ years as a software engineer, data engineer, or AI/ML practitioner writing technical design documents, data pipeline documentation, or API specifications
Develop agentic AI solutions for engineering use cases, including workflow and multi-agent orchestration, as well as integration with engineering tools and data sources such as CAD/CAE, simulation, PLM and internal knowledge systems.
Build and lead a small engineering team, including hiring, onboarding, coaching and developing engineers, setting clear expectations and fostering a culture of ownership, technical excellence and continuous learning.
Make integration effortless: Create reusable frameworks, SDKs, and configuration patterns so new connectors and integrations can be built quickly and maintained reliably.
Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance.