Lead AI Engineer for Large Language Models We are seeking a highly experienced technical leader to spearhead the design, development, and deployment of cutting-edge AI applications on the Google Cloud Platform (GCP). - Design scalable, AI-first data infrastructure on GCP (Vertex AI, BigQuery, Dataflow, Pub/Sub) to power Large Language Models (LLMs) - Develop high-performance, real-time data pipelines to process user behavior and drive ML systems. - Lead the design, development, and deployment of AI/LLM applications using LangChain, HuggingFace, AutoGen, and more. - Build MLOps pipelines with robust CI/CD, monitoring, testing, and model evaluation — especially for LLM outputs. - Create frameworks to assess safety, performance, and quality of generative AI applications. - Write production-grade Python, contribute to core infrastructure, and raise the bar for technical excellence. - Collaborate strategically with Product, AIML leadership, and cross-functional partners to align tech execution with company vision. This is a remote opportunity. Work from anywhere. We've been thriving as a fully-remote team since 2014. Requirements: - 5+ years of experience in Software, Data, and/or ML engineering - Expert in Python, with strong knowledge of data engineering tools, GCP (Vertex AI, Dataflow, BigQuery), and AI pipelines - Hands-on with CI/CD, model monitoring, and observability in ML systems. - Experience launching production-grade GenAI systems, especially involving LLMs, agentic workflows, or multi-agent coordination. - Familiarity with AI/LLM frameworks (Langchain, LlamaIndex, HuggingFace) and modern prompt engineering techniques. Bonus Points For: - Master's or PhD in CS, AI, ML, or related fields - Experience with AWS, Azure, or other cloud AI stacks - Experience with Graph databases (e.g., Neo4j) and proficiency in SQL and NoSQL databases - Background in big data (Spark, Flink) or open-source AI contributions - Understanding of responsible AI, ethics, and data governance The ideal candidate will have a strong foundation in software development, data engineering, and machine learning. A collaborative mindset, excellent communication skills, and a passion for innovation are essential for this role. In return, we offer a dynamic work environment, opportunities for growth and development, and a competitive compensation package. Note that all candidates must meet the requirements listed above. Additional qualifications may be considered but are not required.