Senior Machine Learning Engineer (Agentic AI)

What You Will Do

• design, prototype, implement, and maintain scalable AI systems powered by LLMs and Foundation Models,
• build agentic AI applications — multi-step LLM workflows with RAG, tool/function calling, and structured outputs,
• design and run evaluation pipelines to measure and improve agent quality (LLM-as-judge, regression testing, safety/red-team evaluation),
• collaborate with frontend, product, and other engineering teams to design API contracts and deliver end-to-end features,
• monitor the performance, latency, cost, and SLAs of AI systems in production,
• provide technical leadership and drive the necessary infrastructure or architectural changes.

What You Will Need

• Graduated from Computer Engineering or a similar department,
• have at least 5 years of experience in software development,
• proficient in Python,
• have knowledge of SQL for data manipulation and transformation,
• are familiar with the machine learning life cycle,
• hands-on experience with agent and LLM orchestration frameworks (e.g., Strands SDK, Google ADK, LangChain / LangGraph) and familiarity with LLM observability tools (e.g., Langfuse),
• have a good knowledge of software development lifecycle best practices (Agile Methodologies, Coding Standards, Code Reviews, Resource Management, Development Processes, Deployment, Testing, and Operations),
• have experience with AWS or other cloud services,
• have advanced English skills.
• Kubernetes knowledge is a plus.