AI Engineer - Python/Java ML/AI

Duration: Long Term Applied data science background (degree coursework, immersive bootcamp, or equivalent applied experience). Proven ability to design and deliver applications, with experience making practical systems design tradeoffs. Hands-on programming experience (Python required, plus one or more of Swift, Ruby , or JavaScript). Experience building and integrating applications with LLMs. Experience with vector databases, graph databases, or other structured retrieval approaches. Ability to explain and apply AI engineering practices (retrieval, context management, evaluation methods, MLOps patterns) to other engineers. Strong communication skills to translate technical findings into clear guidance. Preferred Qualifications Ability to rapidly learn and apply new model capabilities and emerging AI research. Ability to design and execute experiments with clear hypotheses, baselines, and success criteria. Experience designing and running LLM evaluation pipelines that combine quantitative and qualitative methods, balance precision–recall tradeoffs, and align metrics with user workflows. Familiarity with Hugging Face ecosystem (Transformers, Datasets, evaluation libraries). Experience with PyTorch for fine-tuning, evaluation, and lightweight model training. Experience implementing a variety of model integration approaches such as LangChain and MCP .