mind-computing
Associate AI Engineer (Remote Opportunity)
- Compensation
- Not disclosed
- Location
- United States
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 0+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field, or equivalent practical experience. Recent graduates are enc
- 0–2 years of relevant experience using AI-powered coding tools to develop, test, and debug software applications.
- Working knowledge of at least one programming language, preferably Python, JavaScript, TypeScript, Java, or C#.
- Hands on experience using AI-assisted coding tools such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar platforms through academic, personal, or professional projects.
- Basic understanding of generative AI, large language models (LLMs), prompt engineering, and their applications in software development.
- Familiarity with software development fundamentals, REST APIs, Git, debugging, and software testing.
- Ability to use AI tools to build functional applications, automate tasks, or solve technical problems.
- Working knowledge of the federal acquisition lifecycle, including IDIQs, GWACs, task orders, RFPs, RFIs, and other federal procurement processes.
- Strong analytical, problem-solving, and critical-thinking skills, with the ability to learn new technologies independently.
- Effective written and verbal communication skills and the ability to collaborate with technical and non-technical stakeholders.
- Self-motivated, curious, adaptable, and eager to experiment with emerging technologies.
- Relevant academic projects, personal applications, hackathons, open-source contributions, and independently developed AI solutions can be considered in place of professional experience.
Full description
Mind Computing is seeking a motivated Associate AI Engineer to support AI-driven software development, automation, and technology innovation across enterprise IT projects and business development initiatives. The ideal candidate is an early career engineer with strong programming fundamentals, hands on experience using AI-assisted development tools, and a passion for applying emerging AI technologies to practical technical challenges.
This role will collaborate with experienced software engineers, technical architects, and project teams to develop AI-powered solutions, improve development workflows, and support technical research and proposal development for federal IT opportunities. Recent graduates and candidates with relevant academic, personal, or open source projects are encouraged to apply.
The candidate must reside within the continental US.
Responsibilities:
- Develop, test, debug, and enhance software applications using modern programming languages and AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, and OpenAI Codex.
- Collaborate with software engineers and technical architects to identify opportunities for AI-driven improvements to existing applications and development workflows.
- Design and develop AI-powered prototypes, automation scripts, utilities, and lightweight applications to improve developer productivity and operational efficiency.
- Explore opportunities to automate software development activities, including code reviews, testing, documentation, troubleshooting, and defect analysis.
- Experiment with large language models (LLMs), AI agents, APIs, and emerging AI frameworks to develop practical solutions for enterprise applications and workflows.
- Evaluate AI-generated code and solutions for accuracy, quality, security, performance, and maintainability in collaboration with senior developers.
- Research emerging AI technologies, development frameworks, and automation tools and recommend potential applications.
- Document and assess the effectiveness of AI-driven solutions, including productivity improvements, time savings and process efficiencies.
- Support technical architects and business development teams in analyzing technical requirements, researching solution approaches, and preparing technical responses to RFIs, RFQs, RFPs, and other federal opportunities.
- Leverage AI tools and emerging technologies to automate and improve capture, business development, market research, competitive intelligence, opportunity tracking, proposal preparation, and knowledge management processes.
- Assist in developing technical narratives, architecture diagrams, solution concepts, prototypes, and supporting proposal documentation.
- Collaborate with cross functional teams to communicate technical findings, demonstrate prototypes, and support adoption of approved AI tools and solutions.