Associate AI Engineer (Remote Opportunity)

Mind Computing

11d•Remote

About The Position

Mind Computing is seeking an early-career Associate AI Engineer to support AI-driven software development, automation, and technology innovation across enterprise IT projects and business development initiatives. The role works 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 United States. The engineer will develop and evaluate software and AI-powered prototypes, investigate emerging technologies, and explore ways to automate development and business processes. The role also supports technical architects and business development teams with requirements analysis, solution research, and preparation of responses to federal opportunities. AI-assisted development and experimentation must comply with customer requirements, data protection policies, and approved technology usage guidelines. Selected candidates must complete fingerprinting at a government facility and undergo a background check. Mind Computing is unable to offer sponsorship.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field, or equivalent practical experience.
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, prompt engineering, and 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 ability to collaborate with technical and non-technical stakeholders.
Self-motivated, curious, adaptable, and eager to experiment with emerging technologies.
Must reside within the continental United States.

Nice To Haves

Experience developing applications using OpenAI, Anthropic Claude, or other LLM APIs.
Familiarity with AI agents, agentic workflows, Retrieval-Augmented Generation (RAG), embeddings, vector databases, or AI orchestration frameworks.
Experience with Python scripting, workflow automation, application integrations, or API development.
Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Familiarity with CI/CD pipelines, automated testing, DevSecOps practices, or modern software development environments.
Experience using AI-assisted development tools to build complete applications, prototypes, or automation solutions.
Familiarity with technical documentation, architecture diagrams, or technical solution development.
Exposure to enterprise applications, healthcare IT, or federal government technology projects.
Ability to obtain a government clearance.
Relevant academic projects, personal applications, hackathons, open-source contributions, and independently developed AI solutions may substitute for professional experience.

Responsibilities

Develop, test, debug, and enhance software applications using modern programming languages and AI-assisted development tools.
Collaborate with software engineers and technical architects to identify opportunities for AI-driven improvements to applications and development workflows.
Design and develop AI-powered prototypes, automation scripts, utilities, and lightweight applications to improve developer productivity and operational efficiency.
Explore automation of software development activities, including code reviews, testing, documentation, troubleshooting, and defect analysis.
Experiment with large language models, 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.
Use AI tools and emerging technologies to improve or automate capture, business development, market research, competitive intelligence, opportunity tracking, proposal preparation, and knowledge management processes.
Assist with 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.
Ensure AI-assisted development and experimentation comply with customer requirements, data protection policies, and approved technology usage guidelines.
Perform additional duties as needed to support project objectives and organizational innovation initiatives.