> Markdown version of [/jobs/ext/584102-ai-engineer](https://www.wearedevelopers.com/jobs/ext/584102-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** ApTask - **Location:** Indianapolis, IN, United States - **Salary:** $83,200.0 - $93,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Computer Programming, Databases, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Enterprise Software Applications, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Git, Scikit Learn, Restful APIs - **Published:** June 12, 2026 - **Apply:** https://www2.jobdiva.com/portal/?a=4ujdnwqsdebu7m13em5f0pt5dw80o500d7dv9cbq5ebzngb7yk0n43mjtefnbx0d&compid=0/jobs/28603098#/jobs/28603098 ## About the Role * The ideal candidate will have experience working with Large Language Models (LLMs), machine learning frameworks, and cloud-based AI services to build scalable and intelligent systems., * Strong programming skills in Python. * Experience with machine learning and deep learning frameworks (PyTorch, TensorFlow, Scikit-learn). * Hands-on experience with LLMs, prompt engineering, and vector databases. * Knowledge of cloud platforms such as AWS, Azure, or GCP. * Experience with REST APIs, Git, and CI/CD practices. ## Description * We are seeking an AI Engineer to design, develop, and deploy AI-powered applications and solutions., * Develop and deploy AI/ML models and generative AI applications. * Build and optimize LLM-based solutions using tools such as OpenAI, Anthropic, or similar platforms. * Design and implement RAG (Retrieval-Augmented Generation) pipelines and AI agents. * Integrate AI solutions with APIs, databases, and enterprise applications. * Collaborate with cross-functional teams to identify and implement AI use cases. * Monitor, evaluate, and improve model performance and reliability. ## 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) - [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) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [AI Driven Development](https://www.wearedevelopers.com/videos/100340-ai-driven-development) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [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 Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)