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 agenticframeworks like AutoGen Azure AI agentic frameworks like AutoGen
Build and maintain RAG systems for context-aware AI responsesDevelop MCP servers and integrations for tool calling and external API interactionsCreate sandboxed execution environments for AI-generated code and visualizationsData & SQL
Write efficient SQL queries against data lakehouses to retrieve business insightsIntegrate with Tableau dashboards and other BI platformsOptimize data retrieval patterns for LLM context windowsAI / ML Operations
Build benchmarking systems to evaluate LLM performance across different models andproviders Implement model switching logic to automatically use the most efficient / effective
LLM
Monitor and optimize token usage, costs, and response latencyWork with AWS Bedrock and Azure AI Foundry for model deploymentRequired Qualifications
Technical Skills
3+ years of professional Python development experienceStrong SQL skills with experience querying databases or data lakehousesExperience with FastAPI or similar Python web frameworks (Flask, Django)Hands-on experience with AWS Bedrock or Azure AI servicesFamiliarity with Docker containerizationExperience with Kubernetes (K8s) deploymentsProficiency with Git and GitLab CI / CD or similar CI / CD toolsUnderstanding of RESTful API design and developmentAI / ML Experience
Working knowledge of LLM technologies (GPT, Claude, Llama, etc.)Experience with prompt engineering and LLM application developmentFamiliarity with LangChain, AutoGen, Azure AI frameworks, or similar agentic / orchestrationframeworks Understanding of RAG (Retrieval-Augmented Generation) patterns
Preferred Qualifications
Experience with React or frontend development (bonus, not required)Familiarity with Tableau or other BI platformsExperience with data lakehouses (Databricks, Snowflake, etc.)Knowledge of Model Context Protocol (MCP) or similar tool-calling frameworksExperience building benchmarking or evaluation systems for ML modelsBackground in financial services or marketing analyticsContributions to open-source AI / ML projects