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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer - **Company:** Platinum Technologies - **Location:** Washington, DC, United States (Remote available) - **Experience:** Experienced - **Salary:** $145,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** Abstraction Layers, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Computer Programming, Continuous Integration, Information Engineering, Data Governance, Data Warehousing, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, SQL Databases, Google Cloud, Pytorch, Large Language Models, Multi-Cloud, Generative AI, Containerization, Scikit Learn, Kubernetes, Information Technology, Deployment Automation, Data Management, Machine Learning Operations, Multiplatform, Data Pipelines, Docker - **Published:** July 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d5c6ea7906946d3b ## About the Role * Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience). * 4+ years of experience developing AI/ML solutions, with demonstrated experience in data science (statistical modeling, predictive analytics, or similar). * Hands-on experience across at least two major cloud platforms (AWS, Azure, GCP). * Experience working with multiple AI/ML model types or providers in a way that is not tied to a single vendor (e.g., building abstraction layers, using orchestration frameworks like LangChain/LlamaIndex, or working across proprietary and open-source models). * Strong programming skills in Python (or similar), with experience in ML frameworks such as TensorFlow, PyTorch, or scikit-learn. * Experience with data engineering fundamentals: SQL, data pipelines, data warehousing/lakes. * Must be eligible for a Public Trust clearance (U.S. citizenship or otherwise eligible status generally required; ability to pass a background investigation). * Strong communication skills and ability to work effectively in a hybrid team environment. Preferred Qualifications * Master's degree in a relevant technical field. * Experience with containerization and orchestration (Docker, Kubernetes) for portable AI deployments. * Familiarity with MLOps practices and tools (MLflow, Kubeflow, CI/CD for ML). * Prior experience supporting government, public sector, or regulated industry clients. * Relevant certifications (e.g., AWS/Azure/GCP AI or ML certifications, Certified Data Management Professional). * Experience with retrieval-augmented generation (RAG), agentic AI systems, or LLM fine-tuning/evaluation. ## Description * Design and develop AI models, algorithms, and applications to solve specific business or mission problems, across multi-cloud, multi-platform, and model-agnostic environments. * Collaborate with team members to preprocess, clean, and analyze large datasets in support of model development and evaluation. * Implement machine learning and deep learning algorithms and frameworks to build robust, production-ready AI solutions. * Fine-tune AI models to improve performance, accuracy, and efficiency for specific use cases. * Integrate AI models into production systems, ensuring reliability, scalability, and maintainability. * Document code, algorithms, and processes thoroughly for future reference - documentation must include all information necessary for another engineer to assume ongoing maintenance of the model or system (e.g., architecture decisions, data sources/lineage, dependencies, configuration, known issues, and retraining/monitoring procedures). * Stay current with the latest AI technologies, models, platforms, and frameworks, and recommend adoption where it benefits the organization. * Ensure solutions meet security, compliance, and data governance requirements appropriate to a Public Trust environment. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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