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Full Stack Ai Engineer Jobs in Columbus, OH (NOW HIRING)

Join our team as we help shape the future. # Full Stack Engineer - AI-Augmented Development ## Position Summary We are seeking a highly skilled Full Stack Engineer who combines deep software ...

Chemours is seeking a Senior Full-Stack AI Developer to join our growing AI & Data Science team ... Experienced full stack software engineer who has a track record of designing & launching apps (for ...

Full Stack Engineer Anywhere Type: Contract Category: Development Industry: Technology Workplace ... Use approved AI-powered engineering tools to accelerate development, testing, documentation, and ...

AI Engineer Senior

Westerville, OH · On-site

$118.10K - $155.70K/yr

Job Summary The AI Engineer Senior will Design, build, and operationalize full stack AI applications that power Vertiv's Enterprise AI Platform and other AI initiatives; and contribute to building ...

AI Engineer Senior

Westerville, OH · On-site

$118.10K - $155.70K/yr

Job Summary The AI Engineer Senior will Design, build, and operationalize full stack AI applications that power Vertiv's Enterprise AI Platform and other AI initiatives; and contribute to building ...

AI Engineer Senior

Westerville, OH

$118.10K - $155.70K/yr

Job Summary The AI Engineer Senior will Design, build, and operationalize full stack AI applications that power Vertiv's Enterprise AI Platform and other AI initiatives; and contribute to building ...

AI Engineer Senior

Westerville, OH

$118.10K - $155.70K/yr

Job Summary The AI Engineer Senior will Design, build, and operationalize full stack AI applications that power Vertiv's Enterprise AI Platform and other AI initiatives; and contribute to building ...

AI Full stack Software Engineer

Columbus, OH · On-site +1

$110.30K - $183.80K/yr

McKesson AI Full Stack Software Engineer McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and ...

We are continuously looking for entry-level software programmers, Java full stack developers ... For data science/data analyst/AI/machine learning positions preferred skills include an associate ...

We are continuously looking for entry-level software programmers, Java Full stack developers ... Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or ...

AI Full stack Software Engineer

Columbus, OH · Remote

$110.30K - $183.80K/yr

We are seeking a highly skilled and motivated AI Full Stack Software Engineer to join our innovative team at CMM. In this role, you will be instrumental in designing, developing, and deploying end-to ...

AI Full stack Software Engineer

Columbus, OH · Remote

$110.30K - $183.80K/yr

We are seeking a highly skilled and motivated AI Full Stack Software Engineer to join our innovative team at CMM. In this role, you will be instrumental in designing, developing, and deploying end-to ...

AI Full stack Software Engineer

Columbus, OH · Remote

$110.30K - $183.80K/yr

We are seeking a highly skilled and motivated AI Full Stack Software Engineer to join our innovative team at CMM. In this role, you will be instrumental in designing, developing, and deploying end-to ...

AI Full stack Software Engineer

Columbus, OH · Remote

$110.30K - $183.80K/yr

We are seeking a highly skilled and motivated AI Full Stack Software Engineer to join our innovative team at CMM. In this role, you will be instrumental in designing, developing, and deploying end-to ...

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Showing results 1-20

Full Stack Ai Engineer information

See Columbus, OH salary details

$41.6K

$125.9K

$178K

How much do full stack ai engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for full stack ai engineer in Columbus, OH is $125,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $147,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.
What are popular job titles related to Full Stack Ai Engineer jobs in Columbus, OH? For Full Stack Ai Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What cities near Columbus, OH are hiring for Full Stack Ai Engineer jobs? Cities near Columbus, OH with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer job openings in Columbus, OH as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $125,922 per year, or $60.5 per hour.
Sr. Full Stack AI Engineer

Sr. Full Stack AI Engineer

The Hartford

Columbus, OH • On-site

Full-time

Posted 12 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

53rd of 258 rated insurance


Job description

Senior Staff Software Engineer - IE07HE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

# Full Stack Engineer - AI-Augmented Development
## Position Summary
We are seeking a highly skilled Full Stack Engineer who combines deep software engineering expertise with advanced proficiency in AI-powered development tools. This role is focused on hands-on building and delivery - a practitioner who ships production-quality code end-to-end across the stack while leveraging AI to accelerate development velocity, improve code quality, and drive innovation.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

---
## Key Responsibilities
### Hands-On Build & Delivery
  • Own features from concept through production release, writing and shipping high-quality code daily
  • Build, test, deploy, and iterate rapidly across frontend, backend, APIs, and data layers
  • Troubleshoot and resolve production issues, performance bottlenecks, and complex bugs
  • Implement and maintain CI/CD pipelines, automated testing, and deployment automation
  • Contribute to architectural decisions and design discussions as a practitioner, ensuring designs translate into solid implementations
  • Own system reliability, performance, and security for the services you build
### Full Stack Implementation
  • Build and ship modern frontend applications using frameworks such as React, Angular, or Vue.js with TypeScript
  • Develop, deploy, and operate robust backend services using Java (Spring Boot), Node.js, Python, or .NET
  • Implement and optimize RESTful APIs, GraphQL endpoints, and event-driven integrations
  • Configure and manage cloud-native infrastructure (AWS or GCP) including containers, serverless, and infrastructure-as-code
  • Build and tune data layers across relational and NoSQL databases, caching, and message queues
  • Write clean, well-tested, production-ready code with a focus on maintainability and operational excellence
### AI-Augmented Development
  • Leverage AI coding assistants (GitHub Copilot, Cursor, Claude Opus, etc.) to dramatically accelerate development workflows
  • Use AI tools for code generation, refactoring, test writing, documentation, and code review
  • Integrate large language model (LLM) APIs and AI/ML services into applications (e.g., OpenAI, GCP Vertex, AWS Bedrock)
  • Design and implement RAG (Retrieval-Augmented Generation) pipelines, prompt engineering strategies, and AI-powered features
  • Evaluate, select, and champion AI tools and practices that improve team productivity
  • Develop custom agents, workflows, and automations using AI platforms and frameworks (Vertex Studio, Semantic Kernel, CrewAI, etc.)
  • Establish guardrails, security practices, and governance for responsible AI usage in engineering
### Technical Leadership & Mentorship
  • Influence engineering culture by evangelizing AI-augmented development practices
  • Train and upskill team members on effective use of AI tools in their daily workflows
  • Contribute to internal knowledge bases, tech talks, and communities of practice
  • Partner with product, design, and data science teams to identify AI-driven opportunities
---
## Required Qualifications
  • Experience: 10+ years of professional software engineering experience, with 5+ years in hands-on full stack delivery roles
  • Education: Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
  • Frontend: Expert-level proficiency building production applications with modern JavaScript/TypeScript frameworks (React, Angular, or Vue.js), HTML5, CSS3, responsive design, and accessibility standards
  • Backend: Deep hands-on experience building and operating services with Java/Spring Boot, Node.js/Express, Python/FastAPI/Django, or C#/.NET
  • Cloud & DevOps: Strong hands-on experience deploying and operating on cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD tooling (Jenkins, GitHub Actions, GitLab CI)
  • Data: Proficiency building and optimizing data layers with SQL and NoSQL databases (PostgreSQL, MongoDB, DynamoDB, Redis), data modeling, and query tuning
  • API Implementation: Proven track record building RESTful APIs, GraphQL services, gRPC endpoints, or event-driven integrations (Kafka, RabbitMQ)
  • AI Tools Proficiency:
- Advanced daily usage of AI coding assistants (GitHub Copilot, Cursor, or equivalent)
- Experience integrating LLM APIs (OpenAI, Anthropic, GCP Vertex Service) into production applications
- Familiarity with prompt engineering, fine-tuning, embeddings, and vector databases
- Track record of measurably improving team velocity through AI tool adoption
  • Testing: Strong testing practices including unit, integration, and end-to-end testing with modern frameworks
  • Architecture: Working knowledge of distributed systems, microservices, and event-driven patterns; ability to contribute to and implement architectural designs
---
## Preferred Qualifications
  • Experience building AI/ML-powered product features (chatbots, intelligent search, recommendation engines, content generation)
  • Familiarity with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI)
  • Experience with agent-based AI architectures and autonomous workflows
  • Contributions to open-source projects or published technical content
  • Experience in regulated industries (insurance, finance, healthcare) with security and compliance requirements
  • Certifications in cloud platforms (AWS Solutions Architect, GCP Professional Cloud Architect, etc.)
---
## Technical Competencies
| Domain | Expected Proficiency |
|---|---|
| Frontend Development | Expert |
| Backend Development | Expert |
| Cloud & Infrastructure | Advanced |
| CI/CD & DevOps | Advanced |
| System Design & Architecture | Advanced |
| AI Tools & Copilots | Expert |
| LLM Integration & Prompt Engineering | Advanced |
| Security & Compliance | Advanced |
| Testing & Quality | Expert |
| Mentorship & Leadership | Advanced |
---

Candidate must be authorized to work in the US without company sponsorship.The company will not support the STEM OPT I-983 Training Plan endorsement for this position.


Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$127,600 - $191,400

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits


What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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