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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative AI Engineer - **Company:** Everforth Apex - **Location:** Dearborn, MI, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Application Integration Architecture, Software Applications, BigQuery, Cloud Computing, Continuous Integration, Information Engineering, Data Integration, Database Applications, DevOps, Django Web Framework, Python (Programming Language), Machine Learning, Natural Language Processing, Productivity Software, Software Engineering, SQL Databases, Systems Integration, Enterprise Data Management, Data Logging, Google Cloud, Test-Driven Development (TDD), GitHub Copilot, Flask (Web Framework), Large Language Models, Generative AI, Backend, Agentic-AI, Fastapi, Infrastructure Automation Frameworks, Information Technology, Api Design, Terraform, Jenkins - **Published:** October 31, 2026 - **Apply:** https://www.dice.com/job-detail/9badd782-f4cf-4ea0-9791-1f8837449bf8 ## About the Role The ideal candidate will have strong Python development skills, hands-on Google Cloud Platform experience, and an interest in building AI agents that can interact with enterprise data, perform multi-step reasoning, automate analysis, and deliver explainable insights to end users. This position combines AI development, backend engineering, cloud technologies, and data integration, with a particular focus on integrating Google large language models (LLMs) with BigQuery and enterprise data., * Bachelor's Degree in Computer Science, Engineering, Information Technology, Data Science, or a related field. * 3-5 years of relevant software engineering, AI engineering, data engineering, or related experience. * Strong hands-on development experience with Python. * Experience developing solutions within Google Cloud Platform (Google Cloud Platform). * Strong software development and coding fundamentals. * Experience developing data-driven applications and integrating applications with enterprise data sources. * Ability to troubleshoot, test, and optimize complex technical solutions. Preferred Qualifications * Experience building Generative AI or LLM-powered applications. * Experience integrating LLMs with enterprise data sources. * Experience building AI agents or agentic workflows. * Experience with: + BigQuery + Cloud Run + Terraform + GitHub Copilot + Tekton + Jenkins * Backend development experience with: + FastAPI + Flask + Django * Experience with CI/CD and DevOps practices. * Experience with Test-Driven Development (TDD) or test-first development. * Understanding of machine learning concepts and methodologies. * Familiarity with Agile development methodologies. * Experience developing APIs and backend services. * Understanding of AI observability, logging, traceability, and governance concepts. ## Description We are seeking a hands-on AI Engineer to design, develop, and implement AI-powered applications and intelligent automation solutions. This role will focus heavily on building Generative AI and agentic AI capabilities within a Google Cloud Platform (Google Cloud Platform) environment., AI & Generative AI Development * Translate business requirements into AI-powered applications, algorithms, models, and automation solutions. * Design and develop intelligent applications leveraging technologies such as Generative AI, natural language processing, machine learning, and intelligent automation. * Build AI agents capable of interacting with enterprise data and supporting complex analytical and investigation workflows. * Develop multi-step reasoning and tool-using agent workflows. * Integrate Google LLM capabilities with BigQuery and other Google Cloud Platform services. * Design mechanisms to retain relevant investigation context and intelligence across sessions. * Develop AI-powered solutions that provide clear, traceable, and explainable insights to end users. * Conduct experimentation to evaluate and improve AI solution accuracy, reliability, and effectiveness. Backend & API Development * Develop backend services and APIs that enable integration between AI applications, enterprise data, and user-facing experiences. * Build scalable Python-based applications using frameworks such as FastAPI, Flask, or Django. * Develop services that allow AI agents to securely interact with data sources and supporting applications. * Write reusable, maintainable, and testable code following modern software engineering practices. Google Cloud Platform & Data Integration * Build AI solutions within Google Cloud Platform (Google Cloud Platform). * Integrate AI applications and agents with BigQuery data. * Develop solutions leveraging relevant Google Cloud Platform technologies, including Cloud Run. * Build workflows that allow AI agents to generate and execute BigQuery SQL. * Monitor and optimize cloud-based AI applications for performance and reliability. AI Agent Development & Governance * Develop AI agents capable of performing multi-step investigations and root cause analysis. * Create structured investigation memory models, with the ability to incorporate semantic approaches where appropriate. * Implement logging and traceability to support transparency across AI-driven workflows. * Establish appropriate governance mechanisms around AI-generated results and automated actions. * Ensure AI solutions provide understandable and explainable outputs for quality engineering users. DevOps & Engineering Practices * Utilize Infrastructure as Code practices with Terraform. * Support automated build, testing, and deployment through CI/CD pipelines. * Work with CI/CD technologies such as Tekton or Jenkins. * Apply Test-Driven Development (TDD), test-first development, MVP, and evolutionary design practices. * Utilize development productivity tools such as GitHub Copilot. * Work within Agile software development environments.