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About the role
BSc, MSc, or PhD in Computer Science, Engineering, or a related field
Strong hands-on experience with Python and modern machine learning frameworks such as PyTorch or TensorFlow
Proven experience designing, building, and deploying production-grade AI, ML, or LLM-based systems
Solid understanding of transformer-based architectures and generative AI systems
Experience adapting, fine-tuning, or optimizing generative models, including open-source LLMs
Strong understanding of modern LLM system design patterns, including retrieval, tool use, context engineering, evaluation, and agentic workflow orchestration
Experience with containerization, Docker, Kubernetes, cloud platforms, and CI/CD pipelines
Experience with at least one orchestration framework or platform for building LLM-based applications
Familiarity with MLOps practices, including model monitoring, experiment tracking, evaluation pipelines, and production model lifecycle management
Ability to make sound technical decisions considering scalability, reliability, performance, security, and cost
Comfortable working with AI-assisted software development workflows and using modern coding agents to accelerate planning, implementation, testing, and iteration
Strong collaboration and communication skills, with the ability to work effectively across product, engineering, and business teams
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