AI DeveloperWashington, DC - HybridJob ResponsibilitiesBuild and enhance AI components that incorporate reasoning, automation, search, and orchestration capabilities.Design RAG and agentic AI pipelines aligned with emerging enterprise patterns.Support data modeling, analytics, and scalable compute environments for model training, tuning, and evaluation.AI & Agentic Framework DevelopmentDevelop multi-agent pipelines using agentic frameworks (e.g., LangChain, LangGraph, or similar).Implement tool-driven workflows for retrieval, reasoning, diagnostics, and decision-making.Integrate enterprise LLM services and apply responsible AI guidelines.Cloud Services Integration (Azure & AWS)Build AI and data pipelines using Azure services such as Azure OpenAI, Cognitive Search, Functions, App Services, and ML Studio.Integrate AWS search capabilities (e.g., OpenSearch) where cross-cloud indexing or semantic search is required.Develop containerized or serverless compute components (Azure Functions, AWS Lambda, ACR/ECR, etc.).Data Engineering & ModelingUse Databricks for data preparation, feature engineering, large-scale processing, and RAG-ready embeddings pipelines.Develop statistical models, evaluation metrics, and experiment tracking workflows.Implement pipelines for model drift, retrieval accuracy, and quality monitoring.Application Development (Python)Build APIs, automation services, and backend components using Python (FastAPI, Flask, etc.).Integrate AI components with enterprise systems, data platforms, or UI layers as needed.Develop unit tests, CI/CD workflows, and deployment scripts.Documentation & GovernanceProduce technical specifications, architecture diagrams, and operational runbooks.Ensure alignment with enterprise security, data governance, and audit requirements.Contribute to enterprise AI patterns and reusable modules.