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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer - **Company:** CareSource - **Location:** Dayton, OH, United States - **Experience:** Expert - **Salary:** $94,100.0 - $164,800.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Data Structures, Github, Graph Database, Python (Programming Language), Machine Learning, Natural Language Processing, OpenCV, Performance Tuning, Tensorflow, Search Technologies, Software Engineering, Google Cloud, GitHub Copilot, Pytorch, Delivery Pipeline, Large Language Models, Generative AI, Infrastructure as Code (IaC), Containerization, Scikit Learn, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations, Virtual Agents, Streamlit Framework, Docker - **Published:** June 14, 2026 - **Apply:** https://jobs.localjobnetwork.com/job/detail/85057835/AI-Developer ## About the Role * Bachelor's degree in Computer Science, Data Science, Artificial Intelligence or related field, or equivalent years of relevant work experience is required * Master's degree is preferred * Minimum of five (5) years of experience in developing and deploying AI/ML models is required * Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools Is required * Experience with Agile methodologies is required Competencies, Knowledge, and Skills: * Knowledge of model interpretability and ethical AI practices * Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and OpenCV * Strong analytical, evaluative and problem-solving abilities * Strong understanding of data structures, algorithms, and software engineering principles * Excellent problem-solving skills and attention to detail * Strong communication and collaboration abilities * Knowledge of healthcare and managed care Preferred Licensure and Certification: * AI / Data Science certifications or credentials are preferred ## Description The AI Developerplays a key role in designing, developing, and deploying intelligent solutions. This role is focused on solving complex business challenges through innovative AI technologies and will collaborate closely with cross-functional teams to ensure timely and high-quality delivery of solutions aligned with defined objectives., * Current Advancements: Generative AI, Agentic AI, LLM fine-tuning, RAG, GraphRAG, Vector databases, Knowledge Graph, Langchain, Langgraph, etc * Model Deployment: MLOPs pipeline, CI/CD, Model Deployment, Docker, Kubernetes, Azure Cloud, Github, etc * Core Skills: Traditional AI / ML / Data Science skillsets (Predictive, Prescriptive, Descriptive, Statistical, Optimization, Simulation, Natural Language processing, Computer Vision, Image Processing, etc) * Domain: Healthcare, Facets, GuidingCare, etc Note: Domain skills are nice to have and not mandatory. Essential Functions: * Design and implement AI models and algorithms tailored to diverse business challenges * Define and lead the architecture of Generative AI platforms, including large language models (LLMs), vector databases, and inference pipelines * Maintain deep expertise in modern generative AI technologies such as Knowledge Graphs, OpenAI, LLaMA, Python, LangChain, vectorization, embeddings, semantic search, Retrieval-Augmented Generation (RAG), Infrastructure as Code (IaC), and Streamlit * Rapidly prototype proof-of-concept solutions to assess emerging technologies and innovative ideas * Foster innovation and collaboration in a fast-paced environment through a hands-on, imaginative approach and a self-driven, inquisitive mindset * Leverage AI-assisted development tools, including GitHub Copilot and internally developed solutions, to enhance productivity * Apply creative problem-solving techniques to identify and implement process improvements * Assess technical risks and develop effective mitigation strategies to ensure successful project delivery * Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into production-ready systems * Partner with leadership to evaluate existing services and develop strategies to optimize delivery and support * Perform data preprocessing and analysis on large datasets to uncover actionable insights * Train, validate, and fine-tune machine learning and deep learning models for optimal performance * Deploy models using cloud infrastructure and containerization technologies such as Docker and Kubernetes * Implement and manageMLOpspipelines to automate model training, deployment, monitoring, and lifecycle management * ApplyAIOpspractices to enhance operational efficiency, automate incident detection, and optimize system performance using AI-driven insights * Continuously monitor model performance and retrain as needed to maintain accuracy and relevance * Stay current with industry trends, tools, and frameworks, and assess their applicability to organizational goals * Document workflows, models, and codebases to support maintainability and knowledge sharing * Provide timely and transparent progress updates to stakeholders, highlighting key milestones, challenges, and proposed solutions * Perform any other job duties as requested ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Unboxing the DeepFace](https://www.wearedevelopers.com/videos/335-unboxing-the-deepface) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)