Tech Stack

Description

You will lead applied AI investments as Rula scales, owning technical direction for high-impact AI products, working across teams to turn big ideas into shipped systems, and raising the bar for building, evaluating, and operating AI in production. This role sits at the center of product innovation and engineering execution, influencing both what is built and how it is built.

Requirements

• 8+ years of AI/ML development with track record of product success
• 5+ years of deep experience in Python and 2+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go)
• Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.)
• Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability
• Strong expertise in LLM integration patterns (RAG, tool/function calling, agents, memory routing, etc.), AI orchestration frameworks (LangChain, LlamaIndex, DSPy, Haystack), and vector databases (Pinecone, Weaviate, FAISS, Milvus)
• Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement
• Strong and effective communication skills
• Bachelor’s degree or above in Machine Learning, or related field

Responsibilities

• Own technical direction for high-impact AI products
• Work across teams to turn big ideas into shipped systems
• Help raise the bar for how we build, evaluate, and operate AI in production