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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer/Engineer (Senior Software Developer, Application) in Southeast - **Company:** Energy Jobline - **Location:** Southeast, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Algorithm Design, Software Applications, Cloud Engineering, Computer Programming, Continuous Delivery, Continuous Integration, DevOps, Monitoring of Systems, Python (Programming Language), Machine Learning, Software Engineering, Systems Integration, Software Organization, Data Logging, Enterprise Software Applications, Cloud Platform System, Virtual Environment, Deep Learning, Model Validation, Git, Infrastructure Automation Frameworks, Deployment Automation, Data Management, Machine Learning Operations, Terraform, Software Version Control - **Published:** September 4, 2026 - **Apply:** https://www.energyjobline.com/job/ai-developer-engineer-senior-software-developer-application-southeast-31425049 ## About the Role The ideal candidate should demonstrate strong hands-on experience with: * Artificial Intelligence and Machine Learning * Machine learning model and algorithm development * Model training, tuning, evaluation, and optimization * Deep learning frameworks * Large-scale and complex dataset analysis * Python, R, or JavaScript * Software development and application engineering * Git-based source code management * CI/CD pipeline development and management * Terraform and infrastructure-as-code practices * AI/ML model deployment and integration * Productionization of machine learning solutions * AI/ML observability and monitoring * Model performance and accuracy optimization * Documentation of models, experiments, and engineering processes, * Experience deploying AI/ML solutions into enterprise or production environments. * Experience with MLOps and automated machine learning lifecycle management. * Experience working with cloud-based AI/ML environments and services. * Experience implementing model monitoring, logging, metrics, and observability. * Experience working in Agile software development environments. * Experience integrating machine learning models with APIs and enterprise applications. * Experience supporting Federal Government, DHS, FEMA, or other government programs is highly desirable. * Familiarity with secure software development practices and government technology environments. Core Competencies The successful candidate will possess: * Strong analytical and problem-solving skills. * Excellent software engineering and programming abilities. * Strong understanding of AI/ML concepts and practical implementation. * Ability to translate business and mission requirements into technical AI/ML solutions. * Strong collaboration and communication skills. * Ability to work independently in a virtual environment while effectively collaborating with distributed technical teams. * Commitment to producing secure, reliable, scalable, and maintainable solutions. * Ability to quickly learn and apply emerging AI and ML technologies. ## Description We are seeking a highly skilled AI Developer/Engineer (Senior Software Developer, Application) to support the design, development, implementation, and optimization of advanced Artificial Intelligence (AI) and Machine Learning (ML) solutions for the Department of Homeland Security (DHS) and Federal Emergency Management Agency (FEMA). The successful candidate will work closely with data scientists, software engineers, and other technical stakeholders to develop production-ready AI/ML applications, analyze complex datasets, improve model performance, and integrate AI capabilities into secure and scalable software environments., * Design, develop, implement, and maintain machine learning models and AI algorithms. * Implement and optimize AI/ML solutions for operational and business requirements. * Collaborate with data scientists, software engineers, DevOps engineers, and other technical teams to integrate AI/ML models into production systems. * Analyze large and complex datasets to identify patterns, trends, and actionable insights. * Develop, tune, test, and continuously improve model performance, accuracy, scalability, and reliability. * Evaluate emerging AI and machine learning technologies and recommend appropriate approaches for project requirements. * Apply a strong understanding of machine learning algorithms, statistical methods, model development practices, and AI engineering principles. * Develop solutions using appropriate deep learning frameworks and modern AI/ML technologies. * Build and maintain reproducible AI/ML development and deployment processes. * Document AI/ML models, experiments, methodologies, configurations, results, and operational processes. * Support model validation, testing, deployment, monitoring, and ongoing optimization. * Integrate AI/ML solutions with existing software applications, data platforms, APIs, and cloud environments. * Implement infrastructure and deployment automation using tools such as Terraform. * Develop and maintain Continuous Integration/Continuous Delivery (CI/CD) pipelines. * Use Git-based source control and modern software development practices. * Incorporate observability, monitoring, logging, metrics, and performance tracking into AI/ML engineering and production environments. * Troubleshoot technical issues and optimize applications and models for performance, scalability, and reliability. * Stay current with advances in AI, ML, deep learning, MLOps, software engineering, and related technologies. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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