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Visionist

Engineering, software development and analytics services

Full Stack Software Engineer - AI Focus

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeColumbia, MD, USA

About the Job

Requirements

  • A bachelor's degree in a technical discipline is required, although four additional years of experience may substitute for the degree.
  • Twelve years of experience in Software Engineering.
  • Strong experience with artificial intelligence and natural language processing, and strong proficiency in Python.
  • Hands-on experience building and maintaining production applications serving hundreds to thousands of users.
  • Experience with AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling.
  • Experience developing resilient, scalable stream-processing applications using modern messaging and event-streaming platforms.
  • Experience leveraging AI coding assistants for code generation, refactoring, debugging, and automation.
  • Experience with Git for software source control and Atlassian tools, including Jira and Confluence.
  • Active Top Secret/SCI clearance with polygraph is required.
  • U.S. citizenship is required; green card holders and permanent residents are not eligible.

Responsibilities

  • Develop agentic integrations with Python that leverage multiple AI models, APIs, and data sources in production.
  • Build tools and agentic workflows using modern frameworks such as PydanticAI, LangGraph, and DeepAgents.
  • Collaborate directly with key stakeholders and cyber analysts to understand operational workflows and identify high-impact automation opportunities.
  • Maintain and troubleshoot a production-grade agentic platform.

About the Company

Visionist

Engineering, software development and analytics services

Visionist provides engineering, software development, and analytical services for mission-critical intelligence projects. It assembles cross-disciplinary teams—developers, analysts, designers, and data scientists—to own and deliver critical outcomes, often under large prime contracts. Its offerings include integrating AI/ML into mission systems, embedding data scientists in analytics, UX and data-analysis apps, signal/cyber/exploitation analysis, penetration testing, data modeling, and DSP. The company combines a small-team feel with scale, shares employee ownership through an ESOP, and aims to keep staff engaged while delivering meaningful, mission-focused results.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Columbia, SC
Founded
2010

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