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Senior Ai Software Engineer Jobs in Ohio (NOW HIRING)

ERP Suites

AI Software Engineer

Loveland, OH · On-site +1

ERP Suites is seeking AI Software Engineers to join our growing team and contribute to the development of innovative AI solutions, both productized and custom. This role is ideal for individuals who ...

Bequiet

$102.76 - $137.02/hr

Du hast die Möglichkeit, moderne AI-Technologien mit fundiertem Software Engineering zu verbinden und die digitale Zukunft von be quiet! aktiv mitzugestalten. Das bringst du mit * Mehrjährige ...

New

Worky

Distinguished AI Software Engineer

Dayton, OH · On-site

$190 - $230/hr

FTI Defense is seeking a Distinguished AI Software Engineering Lead to serve as both a hands-on architect and integrator for mission-critical software and data platforms. This role is designed for a ...

Jimdo GmbH

$140 - $200/hr

As a Senior AI Fullstack Engineer, you'll join our AI Team to build Jimdo Companion--our ... Champion AI‑augmented software development by leveraging modern AI coding assistants and sharing ...

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Senior Ai Software Engineer information

What is a senior AI software engineer?

Senior AI Software Engineers are experienced professionals who design, develop, and deploy artificial intelligence (AI) systems and applications. They lead complex projects involving machine learning, deep learning, and data analysis, often mentoring junior engineers and collaborating with data scientists. Their responsibilities include creating scalable AI models, optimizing algorithms, and ensuring that AI solutions meet business objectives. They typically possess advanced knowledge of programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch. Additionally, they stay updated on the latest AI trends and best practices to drive innovation within their organizations.

What does a senior AI software engineer do?

As a Senior AI Software Engineer, you will frequently work cross-functionally with data scientists and product teams to design, develop, and deploy AI solutions. You’ll translate complex models developed by data scientists into scalable, production-ready code, and ensure the solutions meet performance and reliability standards. Regular communication with product managers and stakeholders is essential to align technical deliverables with business objectives, and you may also mentor junior engineers in best practices for AI system integration.

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

To thrive as a Senior AI Software Engineer, you need deep expertise in machine learning, programming languages such as Python or Java, and a strong background in computer science or a related field, often with an advanced degree. Familiarity with frameworks like TensorFlow or PyTorch, experience deploying models to production, and knowledge of cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, leadership, and effective communication skills distinguish top performers in this role. These skills ensure the ability to design, build, and scale AI solutions that drive innovation and deliver business value.

What is the difference between Senior Ai Software Engineer vs Data Scientist?

AspectSenior Ai Software EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with AI frameworksBachelor's/Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentDevelops AI models, software, and algorithms; collaborates with engineering teamsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require strong technical skills and experience with AI tools, Senior Ai Software Engineers focus on developing and deploying AI software solutions, whereas Data Scientists primarily analyze data to generate insights and build predictive models. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Senior Ai Software Engineer jobs in Ohio?

For Senior Ai Software Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Senior Ai Software Engineer jobs in Ohio look for?

The top searched job categories for Senior Ai Software Engineer jobs in Ohio are:

What cities in Ohio are hiring for Senior Ai Software Engineer jobs?

Cities in Ohio with the most Senior Ai Software Engineer job openings:

Senior Ai Software Engineer jobs near you
Infographic showing various Senior Ai Software Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI Software Engineer

ERP Suites

Loveland, OH • On-site, Remote

Full-time

Re-posted 7 days ago

Job description

ERP Suites is seeking AI Software Engineers to join our growing team and contribute to the development of innovative AI solutions, both productized and custom. This role is ideal for individuals who thrive in a collaborative environment while also demonstrating strong ownership, attention to detail, and the ability to deliver high-quality solutions independently.
At ERP Suites, we pride ourselves on delivering innovative, scalable solutions and providing exceptional, first-class support to our customers.
Role Overview:
As an AI Software Engineer, you will design, develop, deploy, and support AI-powered applications that solve real business challenges. This role blends software engineering, AI/ML implementation, systems integration, and production support to ensure solutions are reliable, secure, scalable, and aligned with business objectives.
Location:
Our home office is based in Cincinnati, OH. However, we are open to hiring someone who is fully remote regardless of location. Although the position will be remote, there might be some occasional travel to ERPS facilities or customer sites.
Key Responsibilities:
  • Design and develop AI-enabled applications, services, APIs, and workflows.
  • Translate business requirements into technical AI solutions and system designs.
  • Build and maintain integrations between AI services and enterprise systems.
  • Prepare, manage, and validate data for AI models and inference workflows .
  • Optimize prompt engineering, retrieval logic, orchestration flows, and agent behavior .
  • Deploy AI solutions using best practices in software engineering and DevOps.
  • Monitor performance, reliability, output quality, latency, and cost in production environments.
  • Troubleshoot and resolve system defects, performance issues, and integration challenges.
  • Ensure AI systems meet security, governance, privacy, and compliance standards.
  • Document architectures, workflows, technical decisions, and support procedures .
  • Collaborate cross-functionally to deliver measurable business value.
  • Continuously improve solutions based on performance data and user feedback.

Day-to-Day Activities:
  • Monitor the health and performance of AI applications in production.
  • Resolve bugs, failures, and quality issues across AI workflows and integrations.
  • Develop and enhance AI features within enterprise systems.
  • Validate outputs for quality, accuracy, and business relevance.
  • Tune prompts, pipelines, and orchestration logic.
  • Participate in design reviews, code reviews, and release activities.
  • Partner with stakeholders to refine requirements and priorities.
  • Maintain accurate documentation and change tracking.

Monthly Focus Areas:
  • Evaluate solution performance against business and technical KPIs.
  • Analyze trends such as model drift, reliability, and output consistency.
  • Recommend and implement improvements to models, prompts, and architecture.
  • Optimize cost, scalability, and system resilience.
  • Participate in governance, risk, and compliance reviews.
  • Update documentation and operational procedures.
  • Identify opportunities for new AI use cases and enhancements.

Required Qualifications:
  • Bachelor's degree in computer science, Information Technology, or a related field.
  • 1-3+ years of experience working with AI platforms such as Oracle AI, AWS AI, Anthropic, or OpenAI.
  • Proficiency in Python.
  • Strong understanding of (LLMs)

Preferred Qualifications
  • Experience with LangChain, vector databases, RAG, or MCP frameworks.
  • Familiarity with OCI and Docker.

Company:
At ERP Suites, our focus is on helping our customers realize IT's potential. Our comprehensive ERP solutions enable them to streamline and scale their IT products and processes. And this leads directly to improved efficiency and increased margins. We are a proud Oracle Gold Partner and champion of proactive JD Edwards management and custom product enhancements.
ERP Suites provides technical consulting, cloud services, managed services, and digital transformation solutions for some of America's top companies. We build secure connections, improve performance, automate workloads and give them mobility. In other words, we help them stay on top.
We deliver multi-functional value through cloud services, digital transformation, ERP consulting services, ERP managed services, and software development.
Core Values:
  • Make Customers Successful
  • Be An Advisor
  • Be a teacher
  • Be a Coach
  • Have Fun
  • Do the Right Things for the ERP Suites Family
  • Adapt Quickly to Changing Roles and Environments
This is Where IT Change Starts.
  • With questions.
  • With problems that need to be solved.
  • With business needs, both immediate and long term.
  • Because technology and its impact on business isn't getting any simpler.
  • That's why we exist.
  • To answer the tough questions.
  • To find a solution to every problem-no matter the size or scope.
  • And to help companies not just identify IT's potential, but realize IT

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