AI Python Engineer
3 weeks ago
AI Engineer (Backend) – Python Key Responsibilities Development • Design and develop Python backend services using FastAPI FastAPI for AI-powered applications • Implement agentic workflows using LangChain LangChain and/or Azure AI agentic frameworks like AutoGen Azure AI agentic frameworks like AutoGen • Build and maintain RAG systems for context-aware AI responses • Develop MCP servers and integrations for tool calling and external API interactions • Create sandboxed execution environments for AI-generated code and visualizations Data & SQL • Write efficient SQL queries against data lakehouses to retrieve business insights • Integrate with Tableau dashboards and other BI platforms • Optimize data retrieval patterns for LLM context windows AI/ML Operations • Build benchmarking systems to evaluate LLM performance across different models and providers Implement model switching logic to automatically use the most efficient/effective LLM • Monitor and optimize token usage, costs, and response latency • Work with AWS Bedrock and Azure AI Foundry for model deployment Required Qualifications Technical Skills • 3+ years of professional Python development experience • Strong SQL skills with experience querying databases or data lakehouses • Experience with FastAPI or similar Python web frameworks (Flask, Django) • Hands-on experience with AWS Bedrock or Azure AI services • Familiarity with Docker containerization • Experience with Kubernetes (K8s) deployments • Proficiency with Git and GitLab CI/CD or similar CI/CD tools • Understanding of RESTful API design and development AI/ML Experience • Working knowledge of LLM technologies (GPT, Claude, Llama, etc.) • Experience with prompt engineering and LLM application development • Familiarity with LangChain, AutoGen, Azure AI frameworks, or similar agentic/orchestration frameworks Understanding of RAG (Retrieval-Augmented Generation) patterns Preferred Qualifications • Experience with React or frontend development (bonus, not required) • Familiarity with Tableau or other BI platforms • Experience with data lakehouses (Databricks, Snowflake, etc.) • Knowledge of Model Context Protocol (MCP) or similar tool-calling frameworks • Experience building benchmarking or evaluation systems for ML models • Background in financial services or marketing analytics • Contributions to open-source AI/ML projects
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