Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.
What You'll Be Doing:
Working with Data Science teams to implement Machine Learning models into production
Design, delivery GenAI solutions
Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency
Design, delivery and management of industrialized processing pipelines
Defining and implementing best practices in ML models life cycle and ML operations/LLM operations
Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices
Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations
Gathering technical requirements & estimating planned work
Presenting solutions, concepts and results to internal and external clients
Creating technical documentation
What We're Looking:
At least 6+ years of experience in Microsoft Copilot Studio / Azure AI Foundry with hands-on experience in building enterprise AI agents.
Strong knowledge of Topics, triggers, variables, routing, fallback handling, Generative Answers, RAG, and knowledge grounding is required.
Should be comfortable integrating with Power Automate, SharePoint, Dataverse, Microsoft Teams, Azure AI Search, and Azure OpenAI/Foundry models.
Experience with citations, metadata-based retrieval, multilingual handling, prompt/instruction design, and troubleshooting agent.
Understanding of Power Platform ALM, Azure services, security, environments, and DEV/UAT/PROD deployments would be an advantage.
We Offer:
Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
“Office as an option” model. You can choose to work remotely or in the office, depending on your location.
Flexibility regarding working hours and your preferred form of contract.
Comprehensive online onboarding program with a “Buddy” from day 1.
Cooperation with top-tier engineers and experts.
Unlimited access to the Udemy learning platform from day 1.
Certificate training programs. Lingarians earn 500+ technology certificates yearly.
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
Internal Gallup Certified Strengths Coach to support your growth.
Grow as we grow as a company. 76% of our managers are internal promotions.
A diverse, inclusive, and values-driven community.
Autonomy to choose the way you work. We trust your ideas.
Create our community together. Refer your friends to receive bonuses.
Activities to support your well-being and health.
Plenty of opportunities to donate to charities and support the environment.
Modern office equipment. Purchased for you or available to borrow, depending on your location.
Summary
Implement machine learning models into production and design enterprise GenAI and agent solutions using Microsoft Copilot Studio and Azure AI Foundry. Requires 6+ years hands-on building enterprise AI agents, strong RAG, grounding, prompt design, and integrations with Power Automate, SharePoint, Dataverse and Azure services.
Responsibilities
Implement ML models into production with Data Science teams; design and deliver GenAI solutions; implement LLM/ML/AI automation for scale; design industrialized processing pipelines; define MLOps/LLMOps best practices and documentation
Qualifications
At least 6+ years in Microsoft Copilot Studio / Azure AI Foundry building enterprise AI agents; knowledge of Topics, triggers, variables, routing, Generative Answers, RAG; integration with Power Automate, SharePoint, Dataverse, Teams, Azure AI Search
Experience requirements
At least 6+ years of experience in Microsoft Copilot Studio / Azure AI Foundry with hands-on enterprise AI agents; strong knowledge of Topics, triggers, routing, RAG, knowledge grounding required
Benefits
Office as an option model; flexibility regarding working hours and preferred form of contract; unlimited access to Udemy learning platform; certificate training programs; upskilling support and training opportunities; well-being and health activities