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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial intelligence engineer Remote - **Company:** Tal Solutions LLC - **Location:** San Antonio, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Computer Vision, Microsoft Azure, Computer Programming, Data Cleansing, Information Engineering, Distributed Computing Environment, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Tensorflow, Search Technologies, Software Engineering, Unstructured Data, Software Organization, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Model Validation, Generative AI, Containerization, AI Platforms, Scikit Learn, Information Technology, Xgboost, Non-relational Database, Machine Learning Operations, Restful APIs, Data Pipelines, Docker - **Published:** July 18, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/?id=25649-1 ## About the Role * Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. * 5+ years of software engineering experience. * 2+ years of experience building and deploying machine learning systems in production environments. * Strong programming skills in Python. * Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or XGBoost. * Strong understanding of statistics, machine learning algorithms, and model evaluation techniques. * Experience designing and consuming RESTful APIs. * Experience with relational and non-relational databases. * Strong knowledge of software development best practices and system design. * Experience with Large Language Models (LLMs), Generative AI, and Retrieval-Augmented Generation (RAG). * Experience with NLP, computer vision, recommendation systems, or predictive analytics. * Hands-on experience with MLOps tools and frameworks. * Experience with vector databases and semantic search systems. * Familiarity with model monitoring, explainability, and governance frameworks. * Experience working in regulated industries such as healthcare, finance, insurance, or automotive. * Knowledge of distributed data processing frameworks such as Apache Spark. ## Description We are seeking an experienced AI/ML Engineer to design, develop, and deploy intelligent systems that transform data into actionable insights and business value. This role focuses on building scalable machine learning solutions, predictive models, decision-support systems, and AI-powered applications that enhance operational efficiency and support data-driven decision-making. The ideal candidate combines strong software engineering fundamentals with hands-on experience developing, deploying, and maintaining AI/ML solutions in production environments. * Design, develop, and deploy machine learning models and AI-powered applications. * Build predictive analytics, classification, recommendation, forecasting, and optimization solutions. * Translate business requirements into scalable AI/ML systems. * Improve operational efficiency through intelligent automation and decision-support tools. * Ensure model accuracy, reliability, explainability, and performance. * Work with large-scale structured and unstructured datasets. * Develop data pipelines for model training, validation, and inference. * Perform feature engineering, data preprocessing, and model evaluation. * Collaborate with data engineering teams to ensure data quality and availability. * Deploy machine learning models into production environments. * Build and maintain scalable model-serving infrastructure. * Containerize and orchestrate AI services using Docker and Kubernetes. * Monitor model performance, drift, reliability, and system health. * Implement CI/CD pipelines for machine learning workflows. * Integrate AI services into APIs, applications, and enterprise platforms. * Design scalable cloud-based AI solutions using AWS, Azure, or Google Cloud. * Ensure security, compliance, and governance requirements are met. * Optimize model inference performance and infrastructure costs. * Partner with product managers, software engineers, data engineers, and business stakeholders. * Research and evaluate emerging AI/ML technologies and frameworks. * Drive innovation through experimentation, prototyping, and continuous improvement. * Provide technical guidance and mentorship to engineering teams when needed. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) ## 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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)