Praxent · 8 hours ago
AI Software Engineer Intern
United States
Internship
Remote
Intern
$15/hr - $15/hrPraxent is a company focused on transforming financial services through innovative software solutions. They are seeking an AI Software Engineering Intern to integrate AI into legacy software modernization projects, collaborating with cross-functional teams to develop actionable AI strategies and tools.
SoftwareWeb Design
Responsibilities
Development of Proofs of Concept (PoCs)
Support implementation of innovative PoCs that demonstrate the practical applications of AI in modernizing legacy systems or integrating AI into software solutions. Collaborate with senior engineers to conceptualize, design, operate and execute PoCs
Utilize AI models to simulate enhancements and document findings
Development of AI Tools
Work from a defined backlog to develop prompts, templates, commands, hooks/skills, and other tools to support AI initiatives
Participate in our AI Center of Excellence brainstorming sessions to identify essential tools for AI workflow efficiency. Iterate on feedback from team members to refine tools and templates
Help source tooling and AI-enabled needs from delivery teams
Iterative Experimentation and Improvement
Engage in experimentation to improve AI outputs and processes
Conduct experiments using different AI models and configurations. Analyze results and document insights for future reference
Collect and share within our AI Center of Excellence through regular presentations of experimental findings, directly resulting in measurable improvements to AI output consistency
Tool Chain Set-Up
Configure and deploy project-specific AI toolchains. Act as the "Tooling Architect" for specific projects, selecting and configuring the right sequence of AI agents and development utilities to bridge the gap between legacy codebases and modern environments
Qualification
Required
Foundational AI Literacy: Ability to understand and apply basic AI concepts—such as how Large Language Models work, LLM harnesses like Claude Code, and the principles of RAG—to solve simple automation tasks or data queries
Logic-Based Data Mapping: Ability to analyze structured and semi-structured data from legacy sources to identify patterns and relationships, ensuring that information is accurately translated and formatted for use within AI-driven applications
Pragmatic Scripting Skills: Experience in a core language like Python or TypeScript to write clean, functional scripts that automate data handling and connect different software components
Creative Prompt Design: Capability to iteratively experiment with and refine structured AI prompts to achieve desired outcomes, demonstrating a blend of logical thinking and clear communication. Test and improvement of prompts
Technical Curiosity & Adaptability: A strong drive to explore new AI tools, libraries, and frameworks, with the ability to quickly learn and apply them to specific project challenges as they arise
Detail-Oriented Debugging: Ability to systematically test code and AI outputs, identifying inconsistencies or errors and working collaboratively to refine the logic until it meets quality standards
Company
Praxent
Praxent - a team of expert software developers, designers + architects – all highly motivated to grow your business
Founded in 2000
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Tim Hamilton
Founder & CEO
Recent News
Company data provided by crunchbase