Senior Data Engineer
Wiser Technology designs, builds, and scales complex software systems that power real-world impact. With 500+ engineers and over 25 years of experience in mission-critical environments, we help global organizations turn ambitious ideas into working solutions. Across Europe, MENA, and North America, we combine deep engineering expertise with AI and data to support leading companies in aerospace & defense, automotive, telecom & media, IT, and financial services.
Are you looking for your next data challenge where you go beyond pipelines and into building the backbone of intelligent, production-grade AI systems? Are you constantly eager to grow and develop in a dynamic and supportive environment? Do you want to work in an outstanding data and AI team? Look no further and apply to join the AI team at Wiser.
We are seeking a highly skilled and innovative Data Engineer to join our team. This role is pivotal in architecting and building the data and AI infrastructure that powers cutting-edge solutions for our clients, ensuring they maximize the value of AI-driven technologies. The Data Engineer will collaborate closely with AI engineers, data scientists, and software developers to design scalable backend systems, integrate advanced AI services, and deliver agentic AI applications from prototype to production. This position requires a balance of strong backend engineering expertise, deep familiarity with the Microsoft AI stack, and a passion for building reliable, high-performance systems.
WHAT YOU WILL DO:
- Design and build robust backend services and APIs using Python and FastAPI to support AI-powered applications.
- Architect and implement solutions on the Microsoft AI stack, leveraging Azure AI Search, Azure Document Intelligence, and Azure OpenAI.
- Develop and orchestrate agentic AI systems using frameworks such as Microsoft Agent Framework, AutoGen, Semantic Kernel, LangGraph, or similar — including tool calling, multi-agent coordination, and memory/context orchestration.
- Integrate AI capabilities into client solutions, including RAG systems, document processing pipelines, web search, and speech-to-text / text-to-speech services.
- Implement and maintain Model Context Protocol (MCP) integrations to enable seamless interaction between agents, tools, and data sources.
- Work closely with AI engineers, data scientists, and software developers to ensure the successful deployment of AI models and applications.
- Build and operate production-grade AI systems with strong observability, prompt and version management, evaluation pipelines, and reliable scaling.
- Containerize and orchestrate services using Docker and Kubernetes, ensuring distributed systems are performant, resilient, and async by design.
- Stay updated on emerging AI technologies and industry best practices to provide innovative and forward-thinking recommendations to clients.
- Ensure data and AI solutions are scalable, secure, and compliant with industry regulations and best practices.
- Develop technical documentation, including solution architectures, integration guides, and best practice references.
WHAT YOU WILL NEED:
- Very good backend engineering experience with Python and FastAPI.
- Hands-on experience with the Microsoft AI stack / Azure, including:
Azure AI Search
Azure Document Intelligence
Azure OpenAI
Azure Functions / Storage / Service Bus (a plus) - Experience with agentic frameworks and orchestration, such as:
Microsoft Agent Framework / AutoGen / Semantic Kernel / LangGraph or similar
Tool calling
Multi-agent systems
Memory and context orchestration
Model Context Protocol (MCP) - Proven experience integrating:
Web search engines
Speech-to-text / Text-to-speech services
Document processing pipelines
RAG (Retrieval-Augmented Generation) systems - Good working knowledge of Kubernetes, Docker, distributed systems, and async processing.
- Experience building and operating production-grade AI systems, including:
Observability and monitoring
Prompt and version management
Evaluation pipelines
Scaling and reliability engineering - An advantage is to have knowledge in CI/CD, Azure DevOps, LLM optimization and fine-tuning.
NICE TO HAVE:
- Strong problem-solving and analytical mindset, with the ability to translate complex business needs into reliable technical solutions.
- Excellent communication skills, capable of articulating technical concepts to both engineering peers and non-technical stakeholders.
- Collaborative team player who thrives in cross-functional environments alongside AI engineers, data scientists, and product teams.
- Excellent familiarity with the SDLC and project management methodologies and tools (e.g. Jira, Confluence, etc.).
- Passion for innovation and continuous learning in the field of AI, data engineering, and emerging technologies.
- Ability to handle multiple engagements and prioritize tasks in a fast-paced environment.
WHAT'S IN IT FOR YOU?
Culture & Development:
- Friendly Environment: We take pride in our culture and love spending time together.
- Team Spirit: Be part of a supportive team that uplifts each other.
- Mentorship and coaching: Our colleagues are experts in their field, and you can expect to have a solid team to rely on.
- Personalized Development Program: We realize that one size doesn't fit all, so you'll receive an individual development plan tailored to your career aspirations.
Social Benefits:
- Work Flexibility: Embrace flexible working hours and choose from remote, hybrid, or onsite work models. Multiple Office Locations: In Sofia, Plovdiv, Stara Zagora, and Nis, you can choose where you would like to work.
- A Suite of Perks: Enjoy food vouchers, additional health insurance, sports cards, and more.
- Community and Connections: Engage in exciting social events and team initiatives.
- Empowerment: At Wiser, every role is instrumental. You will have the power to make a difference!
Ready to advance your career with a tech leader passionately driven by innovation?
Wiser, We Have The Code®