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Senior Ai Developer Jobs in Nebraska (NOW HIRING)

Salute Inc.

Sr. Full Stack Builder

Bennington, NE · On-site

Specific interest in applying software engineering fundamentals to AI systems. You care about ... Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

Summary The Senior Staff AI Scientist will work in teams addressing statistical, machine learning ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

Harris

$125K - $135K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for developing applications. Responsibilities & Duties: - Contribute to architectural discussions, make ...

ACI Worldwide

Sr Software Engineer

Omaha, NE · On-site

$117K - $154K/yr

Implement agentic AI workflow pipelines that orchestrate multiple agents to automate multi-step ... Developer tooling development (code generators, automation scripts) using Node.js * 4 years ...

ACI Worldwide

Sr Software Engineer

Omaha, NE · On-site

$117K - $154K/yr

Implement agentic AI workflow pipelines that orchestrate multiple agents to automate multi-step ... Developer tooling development (code generators, automation scripts) using Node.js * 4 years ...

Warnerbros

Senior Machine Learning Engineer

Bellevue, NE · On-site

$99K - $135K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Agentic AI & Modern Development Actively use and advocate for AI-assisted development: Cursor ...

CONAGRA

Senior Automation Enablement Engineer

Omaha, NE · On-site

$94K - $138K/yr

Lead the design, development, and deployment of enterprise copilots, chatbots, and AI assistants using Azure OpenAI, Copilot Studio, and Power Platform. * Define and evolve prompt engineering ...

Buildertrend

Senior Data Engineer

Omaha, NE · On-site +1

$130K - $160K/yr

As a Senior Data Engineer at Buildertrend, you'll lead the migration of our data platform onto a ... Experience partnering with Data Science, ML, or AI teams, including building and curating datasets ...

CSAA

Serve as a senior escalation point for complex production issues involving AI platforms, machine ... Identify opportunities to improve operational efficiency, governance, security, and developer ...

Relativity

Senior Security Engineer, IAM

Omaha, NE · On-site

$109K - $150K/yr

Posting Type Remote Job Overview The Senior IAM Engineer is a technically authoritative leader who ... This engineer owns the architecture, strategy, and operational maturity of AI-enabled identity ...

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Senior Ai Developer information

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 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 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 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.

Which senior AI developer job is high paying?

Senior AI developer roles tend to be high paying in industries such as technology, finance, and healthcare, especially for those with expertise in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch. Salaries can vary based on location, company size, and individual skills, but senior positions often offer six-figure compensation packages.

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:

Senior Ai Developer jobs near you

Sr. Full Stack Builder

Salute Inc.

Bennington, NE • On-site

Full-time

Posted 13 days ago

Job description

The Role

This role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code and solving with business users. This is a full-stack data and analytics role: you'll pull data from our Snowflake data lake or directly from source systems, build out the data structures, marts, and views to support it, and build front-end visualizations that put insight in the hands of the business.

You'll work on a small, high-caliber team (2–3 engineers and with various Product Specialists) building AI, data, and analytics products end-to-end - from data ingestion and modeling through to the visualizations business users rely on. You'll set technical direction, write code, and be the person the team looks to when something is hard.

You'll spend roughly 75% of your time in development and 25% working directly with stakeholders - often their technical leaders - understanding problems, walking through tradeoffs, and making sure what we're building meets their needs.

Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best place to learn Applied AI engineering practices.

What You Bring

  • 8+ years of engineering experience, with deep care for the craft. You've shipped complete products end-to-end and write elegant, production-ready code across multiple disciplines.
  • Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.
  • Full-stack data and analytics chops. You're comfortable pulling data from a warehouse like Snowflake or directly from source systems, modeling it into clean structures, marts, and views, and building front-end visualizations that business users can act on.
  • Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.
  • High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture.
  • Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty - with yourself and your team.

Our Engineering Philosophy

We build AI systems our own way: bringing the rigor of proven software engineering to the unpredictable nature of frontier AI. We frame our work around hypotheses we can test, build data sets that last, and make sure what we deliver keeps performing long after handoff.

With more than 30 AI products shipped, we've formed clear views on what separates the ones that succeed and what it takes to get them live.

How This Role Is Different

Engineers here typically ship two to three products a year and pick up lessons from dozens more. You'll own each one with real independence, but you won't get a year to perfect any single system. In exchange, you stay constantly close to the latest models and tooling and develop an instinct for AI product development you'd struggle to find elsewhere.

Our Values

  • Overdeliver: We're defining how enterprises unlock value from LLMs, and earning a name as a world-class applied AI team along the way.
  • Overuse AI: We explore and experiment relentlessly to advance applied AI, and we pass what we learn on to each other.
  • Over-"engineer" the Culture: We're shaping a culture that draws and keeps the best applied AI talent, and we pressure-test big decisions against the judgment of our world-class builders.

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