Senior AI Engineer

Doctorate or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or related field 3+ years of commercial experience building and shipping data science solutions Strong Python programming skills, with a focus on clean, maintainable, and production-ready code Solid foundation in statistical modeling, core ML algorithms, and optimization techniques Hands-on NLP experience Working knowledge of LLM APIs (e.g., OpenAI, Anthropic, custom/private LLMs like MCP) for prompt engineering and model integration Proficiency in SQL and advanced data manipulation techniques Proficiency in Exploratory Data Analysis and executing data quality assessment Understanding of ML evaluation methodologies and managing data science experimentation pipelines Excellent communication skills - able to explain complex concepts to non-technical stakeholders Strong problem-solving abilities with a pragmatic, innovative approach Proficiency in English

Integrate APIs (e.g., LLM APIs) into applications leveraging NLP and image recognition Validate the output quality from AI models Work on prompt engineering tasks, working with embeddings and RAG, customizing LLMs Implement vector databases in Postgres for RAG systems Design scalable, modular, and maintainable architectures for AI-powered applications Collaborate with product teams to understand feature requirements and translate them into technical solutions leveraging AI models Working with databases, data analysis, and data quality assessment Optimize server-side logic to ensure efficient querying and integration with AI tools Work with unstructured data (text, images, etc.) and convert it into model-ready formats