Lead AI Engineer [3d2m3]

We’re looking for a Lead AI Engineer to join a team developing an AI-driven Contact Center Diagnostic solution. You’ll work on a modern, scalable stack with a strong emphasis on AI integration, performance, and strategic technical leadership.

This project focuses on leveraging AI for enhanced contact center diagnostics, including GPT-based summarization for rapid insight generation, AI augmentation for benchmarking and performance analysis, and automated report generation to streamline operations and deliver significant ROI.

About the Role
As a Lead AI Engineer, you will define the technical direction, mentor junior engineers, and drive the implementation of advanced AI solutions. You will play a crucial role in integrating cutting-based AI technologies to solve complex business challenges within a dynamic team environment.

Tech Stack

• Core Stack: Python, LangChain, LangGraph
• AI & Machine Learning: RAG, FastMCP, Prompt Engineering, Vector Databases, Embedding Models, Multi-agent libraries (CrewAI, Autogen, Taskweave)
• Cloud & Tools: Azure, Docker, CRM (Salesforce, Microsoft Dynamics), Data engineering concepts, other Cloud platforms

What You’ll Do

• Lead the design and implementation of AI-driven solutions for contact center diagnostics and efficiency, ensuring high performance and scalability.
• Mentor team members, conduct technical reviews, and elevate the overall engineering quality and practices.
• Drive the integration of advanced AI capabilities, including RAG, Prompt Engineering, and Embedding Models, leveraging tools like LangChain and LangGraph.
• Architect and manage solutions on Azure, utilizing services such as Azure Functions, ensuring robust data pipelines and efficient deployment with Docker.
• Collaborate with cross-functional teams to translate complex business requirements into technical specifications and deliver innovative AI solutions.
• Contribute to the strategic vision for AI development, staying abreast of emerging technologies and best practices in the field.

Requirements

• 8+ years of professional experience in software engineering, applied data/AI engineering, or a related field.
• Proven experience in a lead role, including technical ownership, mentoring, or leading initiatives/teams.
• Extensive hands-on experience with Python, LangChain, LangGraph, RAG, FastMCP, Prompt Engineering, Vector Databases, and Embedding Models.
• Proficiency with Azure cloud services and Docker for deployment and containerization.
• Experience with multi-agent libraries like CrewAI, Autogen, and Taskweave is a plus.
• Strong understanding of data engineering concepts, including data pipelines, integration, and warehousing.

What do we offer you?

• Attractive salary
• Large freedom and real influence
• No unhealthy competition, team approach to meeting challenges
• Remote-first, flexible working culture
• Company apartments in cool cities across Europe: work and enjoy a memorable getaway

About Us
We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions. Our team embraces unconventional ideas and new technologies, delivering solutions with real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.