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Senior Ai Developer Jobs in Nebraska (NOW HIRING)

Senior Full Stack Developer Location: Omaha, NE Key Requirements: Proactive, visionary Senior Full ... Required Skills Angular, .NET Core, AWS, Generative AI Job Requirements - Technical Qualifications

Sr Software Engineer

Omaha, NE ยท On-site

$117K - $154K/yr

As a Sr. Software Engineer in Norcross, GA , you will join a diverse, passionate team, dedicated to ... Leverage AI-assisted engineering tools to improve productivity and code quality. Required ...

Sr Software Engineer

Omaha, NE ยท Hybrid

$117K - $154K/yr

As a Sr. Software Engineer in Norcross, GA , you will join a diverse, passionate team, dedicated to ... Leverage AI-assisted engineering tools to improve productivity and code quality. Required ...

Senior Salesforce Developer

Omaha, NE ยท On-site

$92K - $126K/yr

Senior Salesforce Developer We're Concentrix. The intelligent transformation partner. Solution ... Familiarity with AI capabilities, agentic frameworks, or Einstein features within Salesforce is a ...

We are looking for a Senior Software Engineer, Cloud & AI who can work collaboratively within the ... CI/CD & DevOps: Experience with CI/CD pipelines using GitLab or similar. * Infrastructure as Code:

Senior Software Engineer, Cloud and AI

Lincoln, NE ยท On-site

$106K - $140K/yr

We are looking for a Senior Software Engineer, Cloud & AI who can work collaboratively within the ... CI/CD & DevOps: Experience with CI/CD pipelines using GitLab or similar. * Infrastructure as Code:

Senior Software Engineer, Cloud and AI

Kearney, NE ยท On-site

$115K - $152K/yr

We are looking for a Senior Software Engineer, Cloud & AI who can work collaboratively within the ... CI/CD & DevOps: Experience with CI/CD pipelines using GitLab or similar. * Infrastructure as Code:

Sr Software Developer Analyst (On Site)

Omaha, NE ยท On-site

$52.25 - $69/hr

The Senior Systems Developer Analyst is a highly skilled technical professional responsible for ... Incorporates AI to influence design, development and other areas as needed. * Creates, implements ...

The Senior Systems Developer Analyst is a highly skilled technical professional responsible for ... Incorporates AI to influence design, development and other areas as needed. * Creates, implements ...

The Genesys Partner AI Architect is a is a senior presales AI specialist who operates across four ... Engineer contextual AI experiences that leverage real-time data and conversation state - Design how ...

Senior Software Engineer

Omaha, NE ยท On-site

$117K - $154K/yr

The Senior Software Engineer is responsible for designing, developing, and evolving scalable ... on developer efficiency, automation, and quality * Adoption of modern tooling, including AI ...

Senior Software Engineer

Omaha, NE ยท On-site +1

$111K - $146K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Senior Software Engineer

Omaha, NE ยท On-site +1

$111K - $146K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Showing results 21-40

Senior Ai Developer information

What is the difference between Senior Ai Developer vs Machine Learning Engineer?

AspectSenior Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, algorithms, and applications; collaborates with data scientists and engineersDesigns, builds, and deploys machine learning models; often works in data-heavy environments
Employer & Industry UsageTech companies, research labs, AI-focused firmsTech companies, startups, data-driven industries

While both roles involve working with AI and machine learning, Senior Ai Developers focus more on creating and optimizing AI systems, whereas Machine Learning Engineers specialize in building scalable ML models and pipelines. The roles often overlap, but the Senior Ai Developer emphasizes AI application development, and the Machine Learning Engineer emphasizes deployment and data handling.

What are the key skills and qualifications needed to thrive as a senior AI developer?

To thrive as a Senior AI Developer, you need advanced skills in machine learning, deep learning, programming (Python, R, or Java), and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Expertise in frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms (AWS, Azure, or GCP) and relevant certifications are highly valued. Strong problem-solving, leadership, and effective communication skills help in collaborating across teams and translating complex technical concepts into business solutions. These capabilities are crucial for designing robust AI systems, driving innovation, and ensuring successful deployment in real-world applications.

What is a senior AI developer?

Senior AI Developers are experienced professionals who design, build, and implement artificial intelligence systems and solutions. They typically lead AI projects, mentor junior team members, and work on complex problems involving machine learning, deep learning, and data analysis. Their responsibilities also include collaborating with stakeholders, optimizing models for performance, and ensuring AI solutions align with business goals. Senior AI Developers usually have advanced knowledge of programming languages, frameworks, and best practices in AI development.

What are some common challenges faced by senior AI developers when deploying models into production environments?

Senior AI Developers often encounter challenges such as ensuring model scalability and reliability, handling data drift, and integrating models with existing production systems. Balancing model performance with computational efficiency is crucial, as is maintaining compliance with data privacy regulations. Close collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver robust, maintainable AI solutions.
What are the most commonly searched types of Ai Developer jobs in Nebraska? The most popular types of Ai Developer jobs in Nebraska are:
What are popular job titles related to Senior Ai Developer jobs in Nebraska? For Senior Ai Developer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Senior Ai Developer jobs in Nebraska look for? The top searched job categories for Senior Ai Developer jobs in Nebraska are:
What cities in Nebraska are hiring for Senior Ai Developer jobs? Cities in Nebraska with the most Senior Ai Developer job openings:

.NET Senior Full Stack Developer

SmartIPlace

Omaha, NE โ€ข On-site

Contractor

Re-posted 12 days ago


Job description

Job Title: Senior Full Stack Developer
Location: Omaha, NE

Key Requirements:


Proactive, visionary Senior Full Stack Engineer to join Corporate IT Engineering team.
This role is not a task taker but need a consultant minded engineer who can look at legacy systems and see opportunities for refactoring, efficiency, and AI integration.
You will be responsible for the end-to-end lifecycle of corporate applications from architecting modern frontends in Angular to building robust .NET backends and leveraging AWS to scale.
A significant portion of this role involves identifying where Artificial Intelligence can optimize business processes and implementing those solutions from the ground up.
Required Skills 

 Angular, .NET Core, AWS, Generative AI

Job Requirements - Technical Qualifications 

  • Frontend: 8+ years of experience with Angular, TypeScript, RxJS, and modern CSS frameworks (Tailwind/Material).
  • Backend: 5+ years of expert-level experience in C# and .NET Core/Web API.
  • Deep understanding of Entity Framework and asynchronous programming.
  • Cloud (AWS): Proven experience architecting and managing AWS environments.
  • Familiarity with Serverless architectures, IAM roles, and CI/CD pipelines (AWS CodePipeline/Jenkins).
  • AI/ML: Practical experience integrating AI features into production apps.
  • This includes working with APIs (OpenAI/Anthropic), prompt engineering, or leveraging AWS AI services.
  • Database: Proficiency in SQL Server, PostgreSQL, or NoSQL solutions (DynamoDB).
  • Refactoring: Strong experience in "strangling" legacy monoliths and migrating functionality to modern microservices or serverless functions.

Soft Skills & "Self-Starter" Qualities Autonomy: 
  • You don't wait for a Jira ticket to be perfectly groomed.
  • You find the problem and bring the solution to the table.
  • Product Mindset: You care about the "Why" behind the code and how it impacts the corporate end-users.
Communication: 

Ability to explain complex technical concepts and the ROI of refactoring to non-technical stakeholders. 

Adaptability:

Comfortable navigating the complexities of corporate IT environments while pushing for modern best practices. 

Desired Skills & Experience - Preferred Certifications: 

AWS Certified Developer or Solutions Architect. Microsoft Certified: Azure/C# Developer (relevant to .NET mastery).


 

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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