AI Data Engineer

Responsibilities:

• Design and build AI/ML evaluations and features for Agency Fund's tech platforms and partners (LLMs, NLP, recommendation systems, etc. ).
• Architect and maintain production ML systems with an emphasis on observability, performance, reliability and scalability.

Requirements:

• Are proficient in Python and have hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace, etc. )
• Have built and deployed LLM-powered applications or retrieval-augmented generation (RAG) systems.
• Understand ML fundamentals: model training, evaluation, fine-tuning, and inference optimisation.
• Are comfortable with cloud infrastructure (AWS, GCP, or Azure)
• Experience with data annotation pipelines and evaluation methodology for LLMs Background in AI safety, alignment, or responsible AI frameworks.

Skills

aws, azure, gcp, huggingface, llm, python, pytorch, rag, tensorflow