Position Overview
We are seeking passionate and seasoned professionals to join our dynamic team. In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. These services will act as foundational building blocks for AI adoption across our product portfolio and partner ecosystem.
You will be part of a Scrum team to build innovative, standards-compliant, secure, and production-grade AI capabilities, with a builder mindset, rapid prototyping, and continuous improvement with the agility of a start-up.
Key Responsibilities
- Collaborate with multiple teams to create AI solutions, including AI model deployment, training, and AI tooling development.
- Build scalable, fault-tolerant cloud-native services on Azure, ensuring high performance and reliability.
- Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers.
- Work with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs.
- Embed robust security controls to protect sensitive data and ensure secure access to AI services.
Essential Requirements
- Experience working with Large Language Models (LLMs) and understanding trade-offs between performance, cost, and capability.
- Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.
- Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
- Proficiency in developing code using AI Tools such as GitHub Copilot and prompt engineering.
- Experience in Python and AI frameworks/tools such as PyTorch and TensorFlow.
- Experience with tools for automated testing and evaluation of AI outputs.
- Excellent problem-solving skills, with the ability to analyze complex technical challenges and propose scalable solutions.
Desired Skills and Competencies
- Extensive experience in software engineering, preferably in platform or cloud-native service development using C# and .NET technologies.
- Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
- Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning).
- Proficient in securing APIs, managing authentication/authorization, and data privacy practices.
- Hands-on experience with Azure and associated PaaS services; experience with other cloud platforms (AWS, GCP) is also valued.
- Knowledge of AI ethics and regulations and commitment to responsible AI development.
- Experience working in Agile teams and collaborating across global R&D locations.
Research & Development
Our global team of developers works on a diverse portfolio of industrial automation and engineering products. AI and cloud are at the center of our strategy, and we have a strong track record of innovation. If you want to build applications that solve big problems, join us.
Benefits
Enjoy flexible work hours, generous PTO, paid volunteering days, parental leave, well-being support, medical, dental, vision, and 401K. Specific benefits vary by country, but our packages are comprehensive.
Working Arrangement
We work in a hybrid way, with an expectation of being on-site 50% of your working hours to support collaboration and connection.