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Level Ai Jobs in Ohio (NOW HIRING)

AI Software/ Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Translate high-level AI strategies and model prototypes into robust, production-grade microservices and libraries. • Build Pipelines: Design and implement efficient data ingestion and processing ...

Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ...

$120 - $180/hr

Proven experience setting AI technical strategy at a senior level, across multiple domains simultaneously, not within a single team or project * Deep technical fluency in at least one of: perception ...

Own a multi-level AI training curriculum spanning foundational to advanced skills across the firm's tool portfolio (e.g., ChatGPT Enterprise, Microsoft Copilot, Claude). Design, facilitate, and ...

Own a multi-level AI training curriculum spanning foundational to advanced skills across the firm's tool portfolio (e.g., ChatGPT Enterprise, Microsoft Copilot, Claude). Design, facilitate, and ...

OH · On-site

... track token-level latency, output drift, and cost efficiency across pipeline components ... Requirements * 5+ years of AI/ML engineering experience evaluating, fine-tuning, and deploying ...

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Showing results 1-20

Level Ai information

See Ohio salary details

$10.5K

$82.4K

$107.4K

How much do level ai jobs pay per year?

As of Aug 16, 2026, the average yearly pay for level ai in Ohio is $82,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $102,200.00 per year, depending on experience, location, and employer.

What is a Level AI engineer?

A Level AI Engineer is a professional who specializes in developing and deploying artificial intelligence systems at a specific proficiency or seniority level within an organization. Their responsibilities typically include designing machine learning models, optimizing algorithms, and integrating AI solutions into products or services. The term 'Level' usually refers to the engineer's experience, skill set, and role within the company, such as junior, mid-level, or senior AI engineer. These professionals often work closely with data scientists, software engineers, and product teams to deliver intelligent solutions. Their work is essential for advancing automation, analytics, and decision-making capabilities in various industries.

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

To thrive as a Level AI Engineer, a strong background in computer science, mathematics, and experience with machine learning algorithms is essential, often supported by a relevant degree. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and knowledge of cloud computing platforms are typically required. Analytical thinking, problem-solving skills, and effective collaboration make individuals stand out in this role. These skills are crucial for developing, deploying, and optimizing AI solutions that meet complex business and technical needs.

What are typical challenges faced by Level AI specialists when implementing AI solutions in real-world business environments?

Level AI specialists often encounter challenges such as integrating AI systems with existing legacy infrastructure, ensuring data quality and privacy, and managing stakeholders’ expectations regarding AI capabilities. Collaboration with cross-functional teams like IT, data engineering, and business units is crucial to align technical solutions with organizational goals. Additionally, staying up-to-date with evolving AI technologies and regulatory compliance requirements is essential for long-term success in this role.

What is the difference between Level Ai vs Data Analyst?

AspectLevel AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data science certificationsOften requires a bachelor's degree in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentTech-focused, often in AI development teams or startupsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in AI and machine learning companies, tech firmsUsed across industries like finance, marketing, healthcare, and more
Search & Comparison IntentUnderstanding AI-specific roles, career paths in AIAnalyzing data, reporting, and insights generation

Level Ai and Data Analyst roles share overlapping skills in data handling and analysis. However, Level Ai focuses more on AI tools and machine learning, while Data Analysts primarily interpret data to support business decisions. The choice depends on your interest in AI development versus data reporting and analysis.

Do entry-level AI jobs exist?

Yes, entry-level AI jobs are available and typically require foundational skills in programming, data analysis, and machine learning frameworks like TensorFlow or PyTorch. These roles often involve tasks such as data preprocessing, model training, and assisting with AI development under supervision, making them accessible to recent graduates or those with relevant certifications.

What cities in Ohio are hiring for Level Ai jobs?

Cities in Ohio with the most Level Ai job openings:

Infographic showing various Level Ai job openings in Ohio as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $82,393 per year, or $39.6 per hour.

AI Software/ Data Engineer

Vurvey Labs

Cincinnati, OH • On-site

$111K - $134K/yr

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Vurvey Labs is an applied AI company developing models and platforms that enhance human collaboration. They are seeking a versatile AI Software Engineer to bridge AI initiatives with production engineering, focusing on building data pipelines and operationalizing AI features.
Responsibilities:
• Bridge the Gap: Translate high-level AI strategies and model prototypes into robust, production-grade microservices and libraries.
• Build Pipelines: Design and implement efficient data ingestion and processing pipelines (ETL/ELT) that feed our AI models.
• Integrate Systems: Work intimately with our Backend team (Node.js/TypeScript) to expose AI capabilities via clean, well-documented APIs.
• Infrastructure & Ops: Deploy and manage AI workloads using cloud services; own the deployment and orchestration of your services.
• Engineering Excellence: Enforce strong software development principles—comprehensive testing, code reviews, and maintaining CI/CD pipelines.
Qualifications:
Required:
• 5+ years of professional experience in backend software development.
• Hands-on experience with Kubernetes, Docker, and Cloud Platforms (AWS/GCP/Azure).
• Experience setting up and maintaining pipelines (GitHub Actions, GitLab CI, etc.).
• You understand the ecosystem of AI/ML.
• Strong grasp of API design patterns.
• Proficiency in SQL (Postgres) and NoSQL environments.
• Experience designing pipelines using tools like Apache Airflow, Kafka, or cloud-native serverless functions.
Company:
Vurvey Labs is an applied AI company developing models and platforms that remove the barriers for human collaboration. Founded in 2021, the company is headquartered in Cincinnati, USA, with a team of 11-50 employees. The company is currently Early Stage.