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Senior Python Full Stack Developer

Maxima Technologies, LLCSt. Louis, MO🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationSt. Louis, MO, United States
DjangoFastAPIFlaskETLNumPyGoogle CloudLLMPandasPythonGenerative AIRESTReactPostgreSQLCI/CDLangChainLangGraph

Job description

In This Role, You Will

  • Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
  • Design, code, test, debug, and document for projects and programs
  • Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors

Required Qualifications:

  • Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Python full-stack development, including RESTful API design (FastAPI, Flask, Django), web development frameworks, and front-end integration.
  • 3+ years of experience of REST API development for AI services
  • 3+ years of experience of strong knowledge of Autosys, OpenShift (OCP), and Google Cloud Platform environments.
  • 3+ years of experience with CI/CD tools and Identity Access Management.
  • 1+ years of experience with GenAI stack.

Desired Qualifications:

  • Familiarity with Google AI Development Kit (ADK) or equivalent Microsoft AI frameworks for enterprise-grade GenAI solutions like autogen, semantic kernel
  • Familiarity with enterprise AI governance and responsible AI frameworks
  • Combine human + automated evaluation for nuanced quality checks
  • Use LLM-as-a-Judge for scalable assessments.
  • Expertise in numerical libraries such as NumPy, Pandas, and experience building data-driven applications with robust performance and scalability.
  • Familiarity with PostgreSQL, ETL processes, and S3 data handling.
  • GenAI stack
  • Hands-on experience with LangChain, LangGraph, and LangSmith for building agentic workflows
  • Experience with vector databases
  • Proficiency in developing React-based AI agents, strong understanding of multi-agent orchestration systems
  • Familiarity with Model Context Protocol (MCP), enterprise-grade agentic workflows is highly desirable

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