We are a team of experts, bringing together top IT and analytics talent. Our mission is to provide solutions through our flagship service — building tech teams from scratch and strengthening existing ones — tailored to help our partners become truly data-driven.
We are now looking for a Lead GenAI Engineer & Architect (Azure) to take a key role in our client’s global digital transformation program.This is a hands-on technical leadership position — ideal for someone who combines deep engineering expertise with architectural thinking and a passion for building scalable GenAI solutions from the ground up.
You’ll help shape the technical direction and architecture of a rapidly growing Azure-based AI application — while actively contributing to the design and development of production systems that power global operations in areas such as supply chain, procurement, and finance.
Why this role matters now
The AI application is expanding into multiple pillars, with a strong focus on chatbot and conversational AI solutions.We’re looking for a senior engineer who can both set architectural standards and lead by example in code — ensuring high performance, scalability, and maintainability across all components.
You’ll work in a high-performing Agile team that values speed, autonomy, and collaboration — driving innovation at the intersection of AI, cloud, and enterprise software.
What we offer
If you’re a seasoned engineer with a passion for designing, building, and leading large-scale Azure GenAI systems — and you want to stay hands-on while shaping the next generation of enterprise AI — we’d love to hear from you.
What we’re looking for
Nice to have:
We are a team of experts, bringing together top IT and analytics talent. Our mission is to provide solutions through our flagship service — building tech teams from scratch and strengthening existing ones — tailored to help our partners become truly data-driven.
We are now looking for a Lead GenAI Engineer & Architect (Azure) to take a key role in our client’s global digital transformation program.This is a hands-on technical leadership position — ideal for someone who combines deep engineering expertise with architectural thinking and a passion for building scalable GenAI solutions from the ground up.
You’ll help shape the technical direction and architecture of a rapidly growing Azure-based AI application — while actively contributing to the design and development of production systems that power global operations in areas such as supply chain, procurement, and finance.
Why this role matters now
The AI application is expanding into multiple pillars, with a strong focus on chatbot and conversational AI solutions.We’re looking for a senior engineer who can both set architectural standards and lead by example in code — ensuring high performance, scalability, and maintainability across all components.
You’ll work in a high-performing Agile team that values speed, autonomy, and collaboration — driving innovation at the intersection of AI, cloud, and enterprise software.
What we offer
If you’re a seasoned engineer with a passion for designing, building, and leading large-scale Azure GenAI systems — and you want to stay hands-on while shaping the next generation of enterprise AI — we’d love to hear from you.
,[Own and evolve the technical architecture of the GenAI application across multiple product pillars., Design and build scalable backend systems integrating enterprise data, chatbots, and LLMs., Write, review, and optimize production-grade code in C# and Python., Integrate and fine-tune Azure OpenAI and related Cognitive Services for large-scale conversational workflows., Collaborate with other engineers, data scientists, and DevOps to ensure robust delivery pipelines., Define and enforce best practices in coding, security, and system design., Mentor developers and support the growth of technical expertise within the team., Drive continuous improvement in CI/CD, testing automation, and observability. Requirements: C#, Python, Azure Services, Azure App Service, Azure Functions, Azure Cognitive Services, SQL, NoSQL, REST API, Azure DevOps, CI/CD Pipelines, Automated testing, Azure, Generative AI, LLM, chatbots, Microsoft Bot Framework, LangChain Tools: GIT, Agile, Scrum. Additionally: Sport subscription, Private healthcare, Training budget, Small teams, International projects, Free coffee, Bike parking, Free beverages, In-house trainings, In-house hack days, Modern office, No dress code.