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# AI Engineer

- **Company:** Pen-Link, Ltd.
- **Location:** Lincoln, NE, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Backend, Information Technology, Low Latency, Machine Learning Operations
- **Published:** June 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6d74c574d000fbb5

## About the Role

Do you have experience in System deployment?, * 5+ years of professional software engineering experience, including hands-on experience building and deploying production AI or machine learning systems

 * Demonstrated experience delivering at least one AI-powered product or feature to end users in a production environment
 * Strong programming skills, particularly in Python
 * Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or JAX
 * Familiarity with large language model ecosystems and tools including prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) pipelines
 * Experience fine-tuning and evaluating machine learning or large language models
 * Knowledge of cloud platforms and deploying AI/ML solutions within scalable environments
 * Strong analytical and problem-solving skills with the ability to navigate ambiguity and rapidly evolving technologies
 * Excellent written and verbal communication skills, including the ability to explain AI concepts and model behavior to non-technical audiences
 * Understanding of AI limitations, bias mitigation, and ethical considerations related to machine learning systems
 * Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience

## Description

* Design, develop, and implement AI-powered features and applications
 * Research, fine-tune, and deploy machine learning and large language models to support business and product initiatives
 * Integrate AI models into existing applications and backend systems through APIs and scalable architectures
 * Build and maintain data pipelines, including collecting, cleaning, preparing, and validating datasets for model training and evaluation
 * Monitor, evaluate, and maintain model performance through testing, benchmarking, and performance metrics
 * Optimize AI systems for scalability, latency, reliability, and cost efficiency
 * Collaborate cross-functionally with Product, Design, and Engineering teams to translate business needs into practical AI-driven solutions
 * Contribute to continuous improvement efforts surrounding AI development processes, tooling, and best practices
 * Communicate AI capabilities, limitations, and recommendations clearly to both technical and non-technical stakeholders
 * Promote responsible AI practices by considering model bias, ethical implications, and system transparency throughout development


## Related Videos

- [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application)
- [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)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Engineering Productivity: Cutting Through the AI Noise](https://www.wearedevelopers.com/videos/1691-engineering-productivity-cutting-through-the-ai-noise)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

## 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 Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)