through research. We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, ... Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models Building and using More ❯
research Qualification We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models Cloud infrastructure (networking, security, storage, monitoring More ❯
evaluation pipelines to assess and optimize model performance Prototype and productionize agentic workflows that leverage tool usage and chaining Experiment with, tune, and benchmark different LLMs (e.g., OpenAI, HuggingFace, LangChain) Automate model evaluation and integrate insights into the dev lifecycle Support semantic search, data extraction, and document analysis use cases Collaborate with legal engineers and product to build secure and … to architectural decisions, internal tooling, and team best practices Experience & Qualifications: 4+ years of backend or AI-focused engineering experience Hands-on experience working with LLMs and related frameworks (LangChain, LangGraph, etc.) Strong programming skills-Python preferred; experience with APIs and cloud infra is a plus Proven track record designing evaluation frameworks and tuning model performance Solid understanding of data More ❯
