Senior GenAI Engineer

We are seeking a **Senior GenAI Engineer** to lead the development and optimization of AI\-powered applications. This role involves implementing cutting\-edge solutions that integrate large language models (LLMs) and ensuring scalable, reliable, and efficient deployment in cloud\-based environments. **Responsibilities** * Develop and optimize backend services for scalable AI/LLM applications * Integrate and manage LLM\-based applications in cloud environments, with a preference for Azure * Implement CI/CD pipelines to automate deployment processes * Monitor and improve the performance, cost\-efficiency, and reliability of AI services * Ensure observability and logging for performance tracking of LLM APIs * Collaborate with AI/DS and DevOps teams to improve workflows and establish system reliability * Build APIs and microservices to support AI\-powered features * Solve challenges related to latency, cost control, retries, and fallbacks in LLM\-backed applications * Utilize SQL/NoSQL databases, Redis, and Kafka for backend architecture * Leverage tools like Databricks and Model Context Protocol to enhance AI workflows **Requirements** * Minimum 3 years of experience in Python backend engineering with expertise in FastAPI * Proficiency in developing and managing GenAI applications with a focus on large language models (LLMs) * Knowledge of prompt engineering, agentic workflows, and orchestration patterns * Familiarity with LLM API integration and operational best practices * Competency in scalable backend architecture for LLM\-powered APIs * Working knowledge of SQL/NoSQL databases, Redis, and Kafka * Experience working with Databricks and MCP (Model Context Protocol) * Excellent English communication skills at a B2\+ level **Nice to have** * Expertise in agentic workflows * Familiarity with Databricks and Model Context Protocol