6 of 6 Remote Streamlit Jobs

augmented generation (RAG) and agent-based approaches, supported by frameworks like LangChain and CrewAI Skills in leveraging AI model APIs (e.g. OpenAI, Anthropic) and rapid prototyping tools such as Streamlit, along with AI-native developer tools like Cursor, to bring ideas to life quickly Degree in Computer Science, Data Science or similar The ability to lead client demos and presentations More ❯

series, Claude, Deepseek, Llama 4, etc. Experience with Google's Gemini/Gemma LLMs are preferred. Desirable: Experience prototyping user-facing interfaces using Python front-end frameworks such as Streamlit or Gradio. Working knowledge of modern JavaScript/TypeScript front-end frameworks (we use NodeJS, NextJS & React). Practical experience building LLM-driven agents designed explicitly to automate multi-step More ❯

CI/CD, automated testing, code reviews, observability and performance profiling. - ️ Experience using multi modal AI (document layout, vision language models, building agents). - Experience building quick prototypes (e.g. Streamlit, Dash) to validate ideas rapidly. - MLOps tooling (e.g. MLflow) and model monitoring experience. - Strong communication skills and action oriented. Nice to Have - ️ Hands on with Azure services (Storage, Container Registry More ❯

do Design and implement LLM-powered workflows for document understanding, including RAG and agent-based systems Develop robust, well-structured Python libraries and production-ready services Build quick prototypes (Streamlit, Dash) and scalable services (FastAPI, Kubernetes) Contribute to engineering best practices across CI/CD, testing, and monitoring What we're looking for Previous experience with document extraction using LLMs More ❯

helping to define data strategies and solution blueprints that fully utilize Snowflake's capabilitiesInvestigate opportunities to leverage Snowflake's app development features (e.g., Snowpark, Native Apps) and integrations (e.g., Streamlit) to create new business offerings and co-developed IPPartner with colleagues across our Core and Applied Practices to design and bring to market repeatable Snowflake-based solutionsSkills & Experience:Extensive experience More ❯

scipy, hugging face etc. Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. Experience in data visualization tools such as plotly, seaborn, streamlit etc would be an advantage. Understanding of data modelling and exposure to tools like metaflow or airflow is desirable. Understanding of common software practices like version control, continuous deployment, and More ❯