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AI Solutions Engineer
Job Type: Contract to hire, Direct Hire
Job Location: Cincinnati, OH Hybrid; Remote
Job Status: US Citizen
About the Opportunity
Our client is seeking an innovative and hands-on AI Solutions Engineer to design, build, and deploy AI-powered applications, automations, integrations, and data solutions that drive operational efficiency and business growth.
This role serves as the bridge between business operations and technology, translating real-world challenges into scalable, secure, and production-ready solutions. The ideal candidate thrives in a fast-paced environment, enjoys solving complex problems, and is passionate about leveraging AI and automation to improve workflows, decision-making, and operational outcomes.
You’ll work directly with executive leadership, business stakeholders, and operational teams to identify opportunities, develop solutions, and establish technical standards that support long-term scalability and reliability.
Key Responsibilities
Solution Development & Delivery
- Design, develop, test, deploy, and maintain AI-powered applications, intelligent agents, automation workflows, and data solutions.
- Transform business concepts, requirements, and process improvement initiatives into production-ready technology solutions.
- Deliver projects on a consistent and predictable timeline while maintaining high quality standards.
- Continuously improve existing applications and systems based on user feedback and evolving business needs.
Systems Integration & Architecture
- Build and maintain integrations across cloud platforms, databases, business applications, APIs, and knowledge management systems.
- Design scalable, maintainable, and secure software architectures that support future growth.
- Recommend appropriate technologies, frameworks, and development approaches based on business requirements and technical best practices.
AI, Automation & Data Management
- Develop workflows that capture, organize, process, and analyze structured and unstructured business data.
- Leverage large language models (LLMs), AI agents, and automation tools to improve productivity and operational efficiency.
- Identify opportunities to streamline workflows and eliminate manual processes through automation and intelligent tooling.
Operational Excellence
- Establish and maintain development standards for source control, testing, documentation, deployment, monitoring, and support.
- Implement application monitoring, logging, alerting, and performance tracking to ensure reliability and uptime.
- Maintain secure, well-documented, and supportable codebases that can be easily managed and enhanced over time.
- Create technical documentation and user-focused training materials to support adoption and long-term sustainability.
Stakeholder Collaboration
- Partner with project managers, estimators, field teams, and operational leaders to understand business challenges and opportunities.
- Gather requirements, prioritize enhancements, and provide technical guidance on solution design and implementation.
- Stay informed on emerging technologies and AI advancements and recommend opportunities for adoption where appropriate.
What Success Looks Like
- AI and automation initiatives are successfully deployed into production on a regular basis.
- Applications are reliable, secure, and well-monitored with minimal downtime.
- Technical solutions adhere to architecture, security, and development standards.
- Users across the organization actively adopt and benefit from deployed tools.
- Solutions deliver measurable business value through increased efficiency, reduced manual effort, improved accuracy, and faster decision-making.
Required Qualifications
- 3+ years of experience in software engineering, data engineering, systems integration, or a related technical discipline.
- Strong hands-on experience building and deploying software solutions in production environments.
- Experience working with AI technologies, including large language model APIs, AI agents, orchestration frameworks, and AI-assisted development tools.
- Proficiency in modern programming languages used for application development, automation, and systems integration.
- Advanced SQL skills, including database design, complex queries, data modeling, and system integration.
- Experience with cloud platforms, APIs, databases, source control, CI/CD pipelines, application deployment, and monitoring solutions.
- Strong understanding of software architecture, application security, testing methodologies, and code quality best practices.
- Ability to communicate technical concepts effectively with both technical and non-technical stakeholders.
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent hands-on experience demonstrated through a portfolio of deployed solutions.
Preferred Qualifications
- Experience in construction, specialty contracting, field services, manufacturing, warehouse automation, industrial operations, or related industries.
- Experience implementing AI-driven workflow automation and operational intelligence solutions.
- Familiarity with enterprise data management, business systems integration, and process optimization initiatives.
Why This Opportunity?
This role offers a unique opportunity to work directly with executive leadership and influence the future technology strategy of a growing organization. You’ll have the autonomy to build impactful AI and automation solutions that improve operational performance, enhance decision-making, and help scale the business through innovative technology.
If you enjoy turning ideas into real-world solutions and want to make a visible impact through AI, automation, and modern software engineering, we’d love to hear from you.
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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.