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Deployed Engineer Jobs in Nebraska (NOW HIRING)

Leidos

Cloud Engineer

Omaha, NE · On-site

$87K - $157K/yr

The Cloud Engineer will deploy, maintain, and scale hybrid cloud digital infrastructure for multiple Air Force customers. This position requires a fast-learning, high-performing candidate with a ...

Leidos

Cloud Engineer

Omaha, NE · On-site

$53.25 - $71.25/hr

The Cloud Engineer will deploy, maintain, and scale hybrid cloud digital infrastructure for multiple Air Force customers. This position requires a fast-learning, high-performing candidate with a ...

Leidos

Cloud Engineer

Omaha, NE · Hybrid

$53.25 - $71.25/hr

The Cloud Engineer will deploy, maintain, and scale hybrid cloud digital infrastructure for multiple Air Force customers. This position requires a fast-learning, high-performing candidate with a ...

COMFORT SYSTEMS

Cloud Engineer

Omaha, NE · On-site

$87K - $157K/yr

The Cloud Engineer will deploy, maintain, and scale hybrid cloud digital infrastructure for multiple Air Force customers. This position requires a fast-learning, high-performing candidate with a ...

Honey Creek Staffing

Network Engineer

Omaha, NE · On-site

The Network Engineer will oversee the programming, installation, and management of VoIP solutions, design and deploy enterprise solution architecture, and provide excellent customer support.

Nelnet, Inc.

Full-Stack Software Engineer

Lincoln, NE · On-site

$90K - $130K/yr

We are looking for a Full-Stack Software Engineer who shares our enthusiasm for technology and ... Deploy, manage, and scale applications using Amazon Elastic Kubernetes Service (EKS) to ensure high ...

Elite-Recruiting-

Implementation Engineer

Alliance, NE · On-site

Implementation Engineer Reports To: Chief Operating Officer (COO) Department: Information ... Configure, customize, and deploy software solutions based on customer needs. * Install, configure ...

New

GE HealthCare

AI Engineer

Bellevue, NE · On-site

Summary As an AI Engineer, you will play a critical role in designing, building, and deploying agentic AI systems that reason, plan, act, and learn in complex real world environments. You will ...

Nelnet, Inc.

AI Engineer

Lincoln, NE · On-site

Our AI Engineer role sits at the center of that work: building, operating, and scaling the AI ... Design, build, and deploy LLM-powered agents to solve concrete business problems. This includes ...

Scale AI, Inc.

Field Engineer, Data Engine

Omaha, NE · On-site

Deploy and maintain Scale software at customer sites. * Develop customer requested features and ... Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building ...

NELNET BUSINESS SOLUTIONS

AI Engineer

Lincoln, NE · On-site

Our AI Engineer role sits at the center of that work: building, operating, and scaling the AI ... Design, build, and deploy LLM-powered agents to solve concrete business problems. This includes ...

Nelnet, Inc.

Full-Stack Software Engineer

Lincoln, NE · On-site

$90K - $130K/yr

We are looking for a Full-Stack Software Engineer who shares our enthusiasm for technology and ... Deploy, manage, and scale applications using Amazon Elastic Kubernetes Service (EKS) to ensure high ...

Koitecc Solutions

Senior Cloud Engineer

Omaha, NE · On-site

$53.25 - $71.25/hr

The Senior Cloud Engineer will deploy, maintain, and scale hybrid cloud digital infrastructure for multiple Air Force customers. This position requires a fast-learning, high-performing candidate with ...

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All JobsDeployed Engineer JobsDeployed Engineer Jobs in Nebraska

Deployed Engineer information

See Nebraska salary details

$12

$53

$77

How much do deployed engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for deployed engineer in Nebraska is $53.39, according to ZipRecruiter salary data. Most workers in this role earn between $38.27 and $71.06 per hour, depending on experience, location, and employer.
Deployed Engineer jobs near you
Infographic showing various Deployed Engineer job openings in Nebraska as of September 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Lincoln, NE • On-site

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Other

Re-posted 24 days ago

Key responsibilities

  • Develop, fine-tune, and deploy Generative AI models for automation tasks.

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply