About the Role
We are looking for a Senior AI Engineer who bridges the gap between cutting-edge Artificial Intelligence and robust Software Engineering. In this role, you won't just build prototypes; you will design, develop, and scale production-grade, secure intelligent systems for a highly demanding corporate environment. You will act as a hands-on guide for backend and AI implementation, ensuring best practices, software reliability, and technical rigor across our generative AI and automation initiatives.
Responsibilities
•Act as the Senior for complex AI projects, writing clean, production-ready backend code and moving AI solutions beyond prototypes into scalable architectures
•Develop and maintain high-performance RESTful APIs and backend services using C# and Python
•Integrate and optimize Large Language Models (LLMs) into backend processes, ensuring efficient prompt engineering and context management
•Design and implement cutting-edge Generative AI, LLMs, and Multi-agent systems (particularly advanced enterprise chatbots and decision-support tools) tailored for secure corporate environments
•Enforce software engineering best practices, including robust testing (unit, integration, E2E), CI/CD pipelines, and clean code architecture
•Ensure the security, scalability, and resilience of applications
•Take part in code reviews and contribute to the continuous improvement of processes and code quality
•Stay at the forefront of AI advancements, proactively identifying new tools and techniques to integrate into the stack
Requirements
•This is a software engineering-heavy role
•Proven track record of developing robust backend systems using Python and C#/.NET
•Hands-on, practical experience building and optimizing high-performance APIs using FastAPI
•Deep understanding of software environments, version control, automated testing frameworks, and architecture best practices
•Strong conceptual knowledge and practical experience implementing Gen AI, LLMs, Prompt Engineering, and Multi-agent systems
•Proven experience developing and deploying advanced chatbots or virtual assistants within complex, highly regulated corporate environments
•Solid understanding of model evaluation, integration, and ensuring model reliability/security in production
•Solid experience with public cloud platforms (AWS, GCP, or Azure)
•Familiarity with containerization and orchestration and data pipelines
Conditions
No conditions specified in the vacancy.
