automated tests, CI/CD & iteratively delivering value. Knowledge of security, privacy, and compliance best practices for multi-tenant SaaS and AI workloads. Familiarity with Vector databases, ideally Opensearch/Elasticsearch Familiarity with GraphRag or experience building knowledge graphs Familiarity with the latest Generative AI developments such as LLM architectures, fine-tuning strategies, Agentic workflows Experience in observability More ❯
with hands-on experience in AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker, Kedro and MLflow. … and Redux We implement GraphQL and RESTful APIs using NodeJS and Python Our backend services are implemented in C#/.NET or Typescript/NodeJS DynamoDB, Redshift, Postgres, Opensearch, and S3 are our go to data stores We run our ETL data pipelines using Python Equal Opportunities We are an equal opportunities employer. This means we are committed More ❯
