Develops and evaluates AI-powered software, automation scripts, prototypes, and enterprise solutions using programming languages, LLMs, APIs, and AI-assisted coding tools. Collaborates with engineers, architects, and business development teams on technical research, federal proposals, workflow automation, and solution documentation. The role also assesses AI-generated code for quality, security, performance, and maintainability while supporting adoption of approved AI technologies.
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.
- 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.
Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field, or equivalent practical experience. Recent graduates are encouraged to apply.
- 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.
Additional Qualifications:
- 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.
Benefits:
- Medical/Dental/Vision
- 401k with Employer Match
- PTO + Federal Holidays
- Corporate Laptop
- Training Opportunities
- Remote Opportunity
Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
Mind Computing is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
At this time, we are unable to offer sponsorship.
Similar Jobs
Healthtech • Telehealth
Leads and develops a data engineering team responsible for Snowflake, dbt, Python services on AWS, Airflow orchestration, integrations, reliability, and CI/CD. Owns technical strategy, platform administration, access controls, cost management, incident response, engineering standards, delivery, and team development. Partners with product, analytics engineering, DevOps, and business stakeholders to build scalable, reliable data systems.
Top Skills:
Amazon EcsApache AirflowAWSAws LambdaCi/CdDbtFivetranPythonSnowflakeSQLTerraform
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.
Top Skills:
HubspotExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft SharepointMicrosoft TeamsMicrosoft WordSalesforce
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s U.S. vaccines sales organization and national commercial strategy across a complex multi-brand portfolio. Oversees regional sales leaders, operations, and enablement teams; delivers revenue performance; manages budgets, incentives, demand planning, and field readiness; and partners with marketing, access, accounts, pharmacy, medical, legal, compliance, finance, and HR. Develops talent, ensures compliant execution, provides market intelligence, and prepares the organization for future vaccine launches.
Top Skills:
Ai-Powered Commercial ToolsData Visualization PlatformsGenerative AiPredictive Analytics
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
