{"schemaVersion":"jobsearcher.job.v1","id":"caec1d97eea044c65092833a","url":"https://jobsearcher.com/jobs/caec1d97eea044c65092833a","canonicalUrl":"https://jobsearcher.com/jobs/caec1d97eea044c65092833a","title":"AI Engineer","description":"Overview:\nThis 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.\nThe Opportunity\nConstructConnect 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.\n\nIn 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.\n\nResponsibilities:\nWhat You’ll Be Doing\nPlatform & Service Development\nDesign, 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.\nContribute to engineering patterns and paved paths for AI usage, including model access, prompt handling, evaluation, observability, security, and production support.\nPartner with product, application, data, and platform teams to translate AI use cases into scalable technical solutions instead of one-off implementations.\nBuild and operate reliable, cost-aware AI and ML services on cloud platforms using containerized workloads, managed services, and modern infrastructure practices.\nBuild and improve internal APIs, developer tooling, and integration patterns that simplify access to AI providers, model endpoints, retrieval services, and supporting data systems.\nOperations & Delivery\nSupport end-to-end workflows for AI and ML use cases, including data preparation, experimentation, deployment, monitoring, and lifecycle management.\nContribute to CI/CD practices for AI-enabled services and ML components, including automated quality checks, security controls, and release guardrails.\nInstrument AI workloads with strong observability practices, including metrics, logs, dashboards, tracing, alerting, and cost visibility.\nTroubleshoot and resolve issues related to AI and ML deployments, including latency, scalability, integration failures, reliability problems, and cloud cost concerns.\nGovernance & Enablement\nPartner with security, platform engineering, and architecture teams to ensure AI usage aligns with company policies for data classification, access control, privacy, and compliance.\nEvaluate emerging AI technologies, frameworks, and vendor capabilities, and share recommendations on where they may fit within ConstructConnect’s engineering roadmap.\nContribute documentation, runbooks, onboarding materials, and reference implementations that help teams adopt AI capabilities with confidence.\nThis job description in no way implies that the duties listed here are the only ones that team members can be required to perform.\nQualifications:\nWhat You'll Be Doing\nRequired\nBachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience.\n5–7 years of experience in software engineering, machine learning engineering, platform engineering, or a related area building and operating production systems.\nStrong proficiency in at least one modern programming language such as Python, Go, or TypeScript, along with solid software design, debugging, and engineering fundamentals.\nExperience building and operating services on a major cloud platform, preferably Google Cloud Platform, including familiarity with compute, storage, networking, and managed services.\nHands-on experience with containers and orchestration technologies such as Docker and Kubernetes.\nExperience with CI/CD pipelines and Git-based engineering workflows used to build, test, and deploy services and platform components.\nFamiliarity with infrastructure-as-code tools such as Terraform for provisioning and managing cloud resources in a repeatable, auditable way.\nFamiliarity with MLOps concepts and tools used to support model training, evaluation, deployment, and monitoring.\nUnderstanding 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.\nExperience building APIs, services, platforms, or libraries that are consumed by other engineers, with a focus on reliability, usability, and documentation.\nStrong foundation in observability and operational excellence, including experience managing service health through metrics, logs, dashboards, and alerting.\nExperience working cross-functionally with product, data, infrastructure, platform, and security teams.\nAbility to translate technical topics into practical guidance and collaborate effectively in a distributed, remote-friendly environment.\nPreferred\nExperience supporting shared AI enablement, developer productivity, or platform engineering initiatives in a multi-team SaaS environment.\nExperience with Google Cloud AI and data services such as Vertex AI, BigQuery, or related managed tooling.\nFamiliarity with AI evaluation frameworks, guardrails, prompt management, model routing, and lifecycle governance.\nExperience working with vector search, retrieval-augmented generation, agentic workflows, or orchestration frameworks in production settings.\nExposure to intelligent search, recommendation systems, NLP, or computer vision use cases.\nBackground working in environments where security, governance, and operational reliability are important to AI adoption.\n\nPhysical Demands and Work Environment:\n\nThe physical activities of this position include frequent sitting, telephone communication, and working on a computer for extended periods. Visual acuity is required to perform activities close to the eyes.\nTeam members are expected to maintain a dedicated and ergonomically appropriate remote workspace.\nTeam 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 as determined by the team or department.\nAll team members must reside and perform their work within the United States.\n\nE-Verify Statement\n\nConstructConnect utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for ConstructConnect is eligible to work in the United States. To learn more about E-Verify you can call 1-800-255-7688 or visit their website. E-Verify® is a registered trademark of the United States Department of Homeland Security.\n\nPrivacy Notice","company":"Constructconnect","rawCompany":"constructconnect","city":"Atlanta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-07-23T13:23:08.077Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer","description":"Overview:\nThis 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.\nThe Opportunity\nConstructConnect 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.\n\nIn 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.\n\nResponsibilities:\nWhat You’ll Be Doing\nPlatform & Service Development\nDesign, 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.\nContribute to engineering patterns and paved paths for AI usage, including model access, prompt handling, evaluation, observability, security, and production support.\nPartner with product, application, data, and platform teams to translate AI use cases into scalable technical solutions instead of one-off implementations.\nBuild and operate reliable, cost-aware AI and ML services on cloud platforms using containerized workloads, managed services, and modern infrastructure practices.\nBuild and improve internal APIs, developer tooling, and integration patterns that simplify access to AI providers, model endpoints, retrieval services, and supporting data systems.\nOperations & Delivery\nSupport end-to-end workflows for AI and ML use cases, including data preparation, experimentation, deployment, monitoring, and lifecycle management.\nContribute to CI/CD practices for AI-enabled services and ML components, including automated quality checks, security controls, and release guardrails.\nInstrument AI workloads with strong observability practices, including metrics, logs, dashboards, tracing, alerting, and cost visibility.\nTroubleshoot and resolve issues related to AI and ML deployments, including latency, scalability, integration failures, reliability problems, and cloud cost concerns.\nGovernance & Enablement\nPartner with security, platform engineering, and architecture teams to ensure AI usage aligns with company policies for data classification, access control, privacy, and compliance.\nEvaluate emerging AI technologies, frameworks, and vendor capabilities, and share recommendations on where they may fit within ConstructConnect’s engineering roadmap.\nContribute documentation, runbooks, onboarding materials, and reference implementations that help teams adopt AI capabilities with confidence.\nThis job description in no way implies that the duties listed here are the only ones that team members can be required to perform.\nQualifications:\nWhat You'll Be Doing\nRequired\nBachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience.\n5–7 years of experience in software engineering, machine learning engineering, platform engineering, or a related area building and operating production systems.\nStrong proficiency in at least one modern programming language such as Python, Go, or TypeScript, along with solid software design, debugging, and engineering fundamentals.\nExperience building and operating services on a major cloud platform, preferably Google Cloud Platform, including familiarity with compute, storage, networking, and managed services.\nHands-on experience with containers and orchestration technologies such as Docker and Kubernetes.\nExperience with CI/CD pipelines and Git-based engineering workflows used to build, test, and deploy services and platform components.\nFamiliarity with infrastructure-as-code tools such as Terraform for provisioning and managing cloud resources in a repeatable, auditable way.\nFamiliarity with MLOps concepts and tools used to support model training, evaluation, deployment, and monitoring.\nUnderstanding 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.\nExperience building APIs, services, platforms, or libraries that are consumed by other engineers, with a focus on reliability, usability, and documentation.\nStrong foundation in observability and operational excellence, including experience managing service health through metrics, logs, dashboards, and alerting.\nExperience working cross-functionally with product, data, infrastructure, platform, and security teams.\nAbility to translate technical topics into practical guidance and collaborate effectively in a distributed, remote-friendly environment.\nPreferred\nExperience supporting shared AI enablement, developer productivity, or platform engineering initiatives in a multi-team SaaS environment.\nExperience with Google Cloud AI and data services such as Vertex AI, BigQuery, or related managed tooling.\nFamiliarity with AI evaluation frameworks, guardrails, prompt management, model routing, and lifecycle governance.\nExperience working with vector search, retrieval-augmented generation, agentic workflows, or orchestration frameworks in production settings.\nExposure to intelligent search, recommendation systems, NLP, or computer vision use cases.\nBackground working in environments where security, governance, and operational reliability are important to AI adoption.\n\nPhysical Demands and Work Environment:\n\nThe physical activities of this position include frequent sitting, telephone communication, and working on a computer for extended periods. Visual acuity is required to perform activities close to the eyes.\nTeam members are expected to maintain a dedicated and ergonomically appropriate remote workspace.\nTeam 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 as determined by the team or department.\nAll team members must reside and perform their work within the United States.\n\nE-Verify Statement\n\nConstructConnect utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for ConstructConnect is eligible to work in the United States. To learn more about E-Verify you can call 1-800-255-7688 or visit their website. E-Verify® is a registered trademark of the United States Department of Homeland Security.\n\nPrivacy Notice","datePosted":"2026-07-23T13:23:08.077Z","dateModified":"2026-07-23T13:23:08.077Z","hiringOrganization":{"@type":"Organization","name":"Constructconnect","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"caec1d97eea044c65092833a"},"url":"https://jobsearcher.com/jobs/caec1d97eea044c65092833a"}}