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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr AI Software Engineer - **Company:** Everforth Apex - **Location:** Dearborn, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Applications Architecture, Component-Based Software Engineering, Software Applications, Application Performance Management, Automation of Tests, Cloud Computing, Cluster Analysis, Code Review, Continuous Delivery, Continuous Integration, Corona (Software Development Kit), Information Engineering, Data Governance, DevOps, Machine Learning, Natural Language Processing, Software Architecture, Software Deployment, Software Engineering, Enterprise Data Management, Google Cloud, Enterprise Software Applications, Test-Driven Development (TDD), System Availability, Backend, Agentic-AI, Information Technology, Deployment Automation, Production Code, CrewAI, Virtual Agents, Data Pipelines, Serverless Computing, Service Stack, Microservices - **Published:** November 14, 2026 - **Apply:** https://www.dice.com/job-detail/cdac7987-e1e5-4eeb-8744-7c839c333ea9 ## About the Role We are seeking an experienced Senior AI Software Engineer to design, develop, test, and deploy intelligent software solutions and AI-enabled applications. This role combines strong software engineering fundamentals with hands-on experience in artificial intelligence, agentic AI, applied machine learning, and cloud technologies. The ideal candidate will be capable of developing production-grade applications while leveraging modern AI frameworks and techniques to solve complex business problems. Candidates should have experience designing scalable applications, APIs, and microservices and be comfortable evaluating and incorporating emerging AI technologies into enterprise solutions., * Bachelor's Degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical field. * 6+ years of overall IT experience. * 4+ years of professional software development experience. * Advanced proficiency in at least one programming language or working proficiency across multiple programming languages/frameworks. * Hands-on experience developing AI-enabled applications or intelligent software solutions. * Strong understanding of modern software development principles and practices. * Experience developing backend applications, APIs, or microservices. * Experience with automated testing, CI/CD, and production software development. * Understanding of application architecture, security, and data protection principles. * Ability to work effectively within cross-functional Agile teams. Preferred Qualifications * Experience with Google Cloud Platform (Google Cloud Platform). * Experience developing agentic AI solutions using: + Google Agent Development Kit (ADK) + CrewAI + LangGraph + Comparable AI agent frameworks * Applied machine learning experience involving: + Embeddings + Classification + Clustering + Natural Language Processing + Evaluation metrics * Familiarity with data engineering practices. * Familiarity with enterprise data governance. * Experience integrating AI applications with enterprise data and APIs. * Master's Degree in a related technical discipline. ## Description AI & Agentic Application Development * Design, develop, test, deploy, and maintain AI-enabled software applications and services. * Develop intelligent applications utilizing artificial intelligence, machine learning, and modern agentic AI technologies. * Build and integrate AI agents using frameworks such as Google Agent Development Kit (ADK), CrewAI, LangGraph, or comparable technologies. * Evaluate emerging AI technologies and determine how they can be incorporated into enterprise applications. * Develop reliable AI-enabled solutions with appropriate attention to performance, scalability, security, and maintainability. * Apply AI and machine learning techniques to solve complex business and technical problems. Software Engineering * Design and develop scalable backend applications, APIs, microservices, and supporting services. * Evaluate application requirements and determine appropriate technology stacks, integration patterns, and deployment strategies. * Contribute to software architecture and define application components, interfaces, and integration patterns. * Develop clean, maintainable, secure, and well-tested production code. * Apply modern engineering practices, including: + Test-Driven Development + Automated testing + Continuous Integration + Continuous Delivery + Code review + Secure software development * Continuously improve application performance, reliability, and engineering efficiency. Applied Machine Learning * Apply machine learning techniques to support intelligent application capabilities, including: + Embeddings + Classification + Clustering + Natural Language Processing + Model and application evaluation * Develop appropriate evaluation approaches and metrics for AI-enabled solutions. * Partner with data and engineering teams to ensure data used within AI solutions is accurate, accessible, appropriately governed, and secure. * Support integration between AI applications and enterprise data platforms. Cloud & Data * Develop and deploy applications utilizing Google Cloud Platform (Google Cloud Platform). * Design cloud-native services and integrations supporting AI-enabled applications. * Collaborate with data engineering teams around data pipelines, data availability, and governance. * Ensure appropriate security and data protection practices are incorporated into application designs. Collaboration & Architecture * Work closely with Product Owners, Architects, Designers, Data Engineers, and other cross-functional stakeholders. * Engage with customers and business stakeholders to understand use cases, pain points, and technical requirements. * Translate business requirements into scalable technical solutions. * Participate in architecture and design discussions. * Communicate technical decisions, risks, trade-offs, and recommendations clearly to technical and business stakeholders.