AI Engineer
Job Location:
Atlanta, GA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
This position is hybrid in Peachtree Corners Georgia and sits within our Product Development division which develops tests and improves our software solutions in an innovative and collaborative environment.
The Opportunity
ConstructConnect is accelerating how AI is applied across our products platforms and engineering workflows. We are looking for an AI Engineer to design build and operate shared AI capabilities that other engineering teams can use to deliver secure scalable production-ready solutions.
In this role you will partner with software engineering platform engineering data security and product teams to make AI easier to adopt across the organization through practical services tooling and repeatable implementation patterns. This is a hands-on engineering role for someone who enjoys building production systems improving developer workflows and helping turn promising AI concepts into reliable solutions for internal teams and customers.
What Youll Be Doing
Platform & Service Development
- Design implement and maintain shared AI platform components such as services SDKs templates workflows and reusable libraries that software engineering teams can adopt quickly and safely.
- Contribute to engineering patterns and paved paths for AI usage including model access prompt handling evaluation observability security and production support.
- Partner with product application data and platform teams to translate AI use cases into scalable technical solutions instead of one-off implementations.
- Build and operate reliable cost-aware AI and ML services on cloud platforms using containerized workloads managed services and modern infrastructure practices.
- Build and improve internal APIs developer tooling and integration patterns that simplify access to AI providers model endpoints retrieval services and supporting data systems.
Operations & Delivery
- Support end-to-end workflows for AI and ML use cases including data preparation experimentation deployment monitoring and lifecycle management.
- Contribute to CI/CD practices for AI-enabled services and ML components including automated quality checks security controls and release guardrails.
- Instrument AI workloads with strong observability practices including metrics logs dashboards tracing alerting and cost visibility.
- Troubleshoot and resolve issues related to AI and ML deployments including latency scalability integration failures reliability problems and cloud cost concerns.
Governance & Enablement
- Partner with security platform engineering and architecture teams to ensure AI usage aligns with company policies for data classification access control privacy and compliance.
- Evaluate emerging AI technologies frameworks and vendor capabilities and share recommendations on where they may fit within ConstructConnects engineering roadmap.
- Contribute documentation runbooks onboarding materials and reference implementations that help teams adopt AI capabilities with confidence.
- This job description in no way implies that the duties listed here are the only ones that team members can be required to perform.
What Youll Be Doing
- Bachelors degree in Computer Science Software Engineering Data Science or a related field or equivalent practical experience.
- 57 years of experience in software engineering machine learning engineering platform engineering or a related area building and operating production systems.
- Strong proficiency in at least one modern programming language such as Python Go or TypeScript along with solid software design debugging and engineering fundamentals.
- Experience building and operating services on a major cloud platform preferably Google Cloud Platform including familiarity with compute storage networking and managed services.
- Hands-on experience with containers and orchestration technologies such as Docker and Kubernetes.
- Experience with CI/CD pipelines and Git-based engineering workflows used to build test and deploy services and platform components.
- Familiarity with infrastructure-as-code tools such as Terraform for provisioning and managing cloud resources in a repeatable auditable way.
- Familiarity with MLOps concepts and tools used to support model training evaluation deployment and monitoring.
- Understanding of modern AI capabilities such as generative AI embeddings retrieval patterns NLP and related ML concepts and the ability to apply them responsibly in production environments.
- Experience building APIs services platforms or libraries that are consumed by other engineers with a focus on reliability usability and documentation.
- Strong foundation in observability and operational excellence including experience managing service health through metrics logs dashboards and alerting.
- Experience working cross-functionally with product data infrastructure platform and security teams.
- Ability to translate technical topics into practical guidance and collaborate effectively in a distributed remote-friendly environment.
Preferred
- Experience supporting shared AI enablement developer productivity or platform engineering initiatives in a multi-team SaaS environment.
- Experience with Google Cloud AI and data services such as Vertex AI BigQuery or related managed tooling.
- Familiarity with AI evaluation frameworks guardrails prompt management model routing and lifecycle governance.
- Experience working with vector search retrieval-augmented generation agentic workflows or orchestration frameworks in production settings.
- Exposure to intelligent search recommendation systems NLP or computer vision use cases.
- Background working in environments where security governance and operational reliability are important to AI adoption.
Physical Demands and Work Environment:
- The physical activities of this position include frequent sitting telephone communication and working on a computer for extended periods. Visual acuity isto perform activities close to the eyes.
- Team members are expected tomaintaina dedicated and ergonomicallyappropriate remoteworkspace.
- Team members who live within commuting distance of one of our office locations (Greater Cincinnati/Northern Kentucky or Atlanta Georgia) are expected to work in a hybrid capacity with regular in-office presence asdeterminedby the team or department.
- All team members mustresideand perform their work within the United States.
E-Verify Statement
ConstructConnectutilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works forConstructConnectis eligible to work in the United States. To learn more about E-Verify you can call 1- or visit their website. E-Verify is a registered trademark of the United States Department of Homeland Security.
Required Experience:
IC
About Company
ConstructConnect provides data and software to help contractors and manufacturers find, bid, and win the right construction jobs. Request a demo today.
