AI Engineer

Posted 2 Days Ago
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Lincoln, NE, USA
Hybrid
Senior level
Software
The Role
Design, build, deploy, and optimize production AI features and machine learning systems. Responsibilities include model integration, prompt design, fine-tuning, data pipelines, evaluation, monitoring, scalability, and responsible AI practices. The role partners with Product, Design, and Engineering to deliver reliable AI solutions and communicate model capabilities and limitations to technical and non-technical stakeholders.
Summary Generated by Built In
Description

Penlink is a technology company bringing clarity to complex data for people who need it now. We partner with law enforcement agencies across the United States, offering a software solution to manage data and aid investigators solving crimes. It sounds like a lot of data and analytics, but really, it’s about improving the world and keeping safe the places we call home. 

We focus on creating products that positively impact our communities and being "in the mission" and less about the laidback culture and amazing benefits – even though we offer those too. With our get it done attitude and focused mission we are growing at an unprecedented rate and are therefore seeking an AI Engineer to design, build, and ship AI-powered features in production. You’ll work across the stack from prompt design and model integration to evaluation, deployment, and optimization.  You’ll partner closely with product, design, and engineering to turn business needs into reliable AI systems. 

This role is a great fit if you enjoy working at the intersection of applied machine learning and product engineering, and you’re comfortable iterating in a space where the tools and best practices are still evolving quickly. 

YOUR RESPONSIBILITIES 

  • 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 
Requirements

YOUR COMPETENCIES & EXPERIENCE 

  • 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 

This position currently follows a hybrid schedule requiring two days per week in our Lincoln, Nebraska office. Onsite requirements may be adjusted based on business needs and company or departmental policy.

Skills Required

  • 5+ years of professional software engineering experience, including hands-on experience building and deploying production AI or machine learning systems
  • Experience delivering at least one AI-powered product or feature to end users in production
  • 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, prompt engineering, embeddings, vector databases, and RAG pipelines
  • Experience fine-tuning and evaluating machine learning or large language models
  • Knowledge of cloud platforms and deploying AI/ML solutions in scalable environments
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills, including explaining AI concepts to non-technical audiences
  • Understanding of AI limitations, bias mitigation, and ethical considerations
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
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The Company
HQ: Lincoln, NE

What We Do

For us, it’s more than just showing up to a job; it’s about being part of something big. PenLink is a technology company that brings clarity to complex data for people who need impactful answers now. It is a lot of data and analytics but also so much more-it’s about improving the world and keeping safe the places we call home.

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