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Ai Full Stack Developer Jobs in London, OH (NOW HIRING)

Staffingine LLC

Java Full Stack Developer

Columbus, OH · On-site

$50.75 - $65.50/hr

Java Full Stack Developer Job Location: Columbus, OH Job Type: Contract : * Java Full Stack Developer * Develop and maintain the Java web application end to end based on requirements. * Kubernetes ...

Prophecy Technologies

Full Stack Developer

Columbus, OH · On-site

This role is for a Full Stack Developer focused on designing, building, and maintaining highly scalable web applications, architecting enterprise integrations, and optimizing DevOps pipelines within ...

Apex Informatics

Java Full Stack Developer

Columbus, OH · On-site

$50.75 - $65.50/hr

Java Full Stack Developer Columbus OH (3 days WFO, 2 days WFH) Submit only those who can relocate to Columbus from day 1 look for Full stack java with strong react exp. A clear communicator who is ...

Apex Informatics

Java Full stack developer

Columbus, OH · On-site

$50.75 - $65.50/hr

Look for Java full stack developer, with Angular, cloud (AWS) database:: oracle DB and SQL queries (intermediate level ) Required qualifications, capabilities, and skills • Formal training or ...

OPERS

Full Stack Developer 1

Columbus, OH · Hybrid

$72K - $90K/yr

Description Full Stack Developer 1 - Downtown Columbus, Ohio (Hybrid) The Ohio Public Employees Retirement System is one of the top pension systems in the United States. We are passionate about ...

OPERS

Full Stack Developer 2

Columbus, OH · Hybrid

$79K - $99K/yr

Description Full Stack Developer 2 - Downtown Columbus, Ohio (hybrid) The Ohio Public Employees Retirement System is one of the top pension systems in the United States. We are passionate about ...

Huntington

Senior Full Stack Developer

Columbus, OH · On-site +1

$70K - $140K/yr

Senior Full Stack Developer - In this senior role, the successful candidate will Design, Develop, Integrate, and Support Process Automation API development. Duties and Responsibilities: * Architect ...

Huntington

Senior Full Stack Developer

Columbus, OH · On-site +1

$70K - $140K/yr

Senior Full Stack Developer - In this senior role, the successful candidate will Design, Develop, Integrate, and Support Process Automation API development. Duties and Responsibilities: * Architect ...

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Showing results 1-20

All JobsAi Full Stack Developer JobsAi Full Stack Developer Jobs in London, OH

Ai Full Stack Developer information

See London, OH salary details

$22

$56

$81

How much do ai full stack developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for ai full stack developer in London, OH is $56.19, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $64.71 per hour, depending on experience, location, and employer.

What is the difference between Ai Full Stack Developer vs Data Scientist?

AspectAi Full Stack DeveloperData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; knowledge of AI frameworksBachelor's or higher in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops AI applications, integrates front-end and back-end AI solutionsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, an Ai Full Stack Developer focuses on building and integrating AI-powered applications across the full software stack, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The roles often overlap in AI projects but serve different core functions.

What cities near London, OH are hiring for Ai Full Stack Developer jobs?

Cities near London, OH with the most Ai Full Stack Developer job openings:

Ai Full Stack Developer jobs near you
Infographic showing various Ai Full Stack Developer job openings in London, OH as of June 2026, with employment types broken down into 39% Full Time, 57% Part Time, and 4% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $116,867 per year, or $56.2 per hour.

Full Stack Developer - Advanced

Argyllinfotech

Columbus, OH • On-site

Full-time

Posted 11 days ago

Job description

Full Stack Developer - Advanced
Location: Columbus, OH
Duration: Long Term
 
 
Client: JPMC 
 
Job Overview: We are looking for a Java Full Stack Developer / Forward Deployed Engineer with strong hands-on experience in Java, Spring Boot, modern frontend technologies, APIs, cloud platforms, and enterprise application development. The ideal candidate will work closely with business and technical stakeholders to design, build, integrate, and deploy AI-powered and Agentic AI solutions for enterprise use cases.
 
This role requires a strong engineering mindset with the ability to work across the frontend, backend, APIs, data, cloud, and AI/agentic layers, rapidly convert business requirements into working solutions, and support deployments in complex enterprise environments.
 
Key Skills / Search Keywords: Java | Spring Boot | Microservices | React.js | Angular | JavaScript | TypeScript | REST API | SQL | AWS/Azure/GCP | Docker | Kubernetes | CI/CD | GenAI | Agentic AI | LLM | RAG | LangChain | LangGraph | CrewAI | AutoGen | Semantic Kernel | MCP | Vector Database | Prompt Engineering | AI Agents | API Integration | Full Stack Development | Forward Deployed Engineer
 
Key Responsibilities
  • Design and develop scalable full-stack applications using Java, Spring Boot, REST APIs, and modern frontend frameworks.
  • Build responsive user interfaces using React.js / Angular and integrate them with backend services and APIs.
  • Design and implement microservices-based applications and enterprise integration solutions.
  • Develop and integrate GenAI and Agentic AI capabilities into enterprise applications and workflows.
  • Work with AI/agent frameworks such as LangChain, LangGraph, Microsoft Semantic Kernel, CrewAI, AutoGen, or similar frameworks.
  • Integrate applications with LLMs, RAG pipelines, vector databases, AI APIs, and enterprise data sources.
  • Develop APIs and tool integrations that enable AI agents to interact with enterprise systems.
  • Work with MCP (Model Context Protocol) or similar approaches for connecting AI agents with enterprise tools and services.
  • Build proof-of-concepts rapidly and evolve them into production-ready solutions.
  • Work directly with client/business stakeholders to understand ambiguous business problems and translate them into technical solutions.
  • Design and implement workflows involving AI agents, orchestration, tool calling, memory, human-in-the-loop processes, and automated decisioning.
  • Integrate AI solutions with existing enterprise applications, databases, APIs, and legacy systems.
  • Implement authentication, authorization, security, logging, monitoring, and governance requirements.
  • Deploy applications and AI workloads on cloud platforms such as AWS, Azure, or GCP.
  • Containerize and deploy applications using Docker and Kubernetes.
  • Implement CI/CD pipelines and follow modern DevOps and software engineering practices.
  • Perform testing, debugging, performance optimization, and production support.
  • Collaborate with architects, product managers, AI engineers, data engineers, and client stakeholders.
  • Document technical designs, reusable components, integration patterns, and deployment processes.
     
Required Technical Skills Backend
  • Strong hands-on experience with Java 8/11/17+
  • Spring Boot, Spring MVC, Spring Security
  • Microservices architecture
  • RESTful APIs and API integration
  • Hibernate / JPA
  • SQL and relational databases
  • Experience with messaging systems such as Kafka/RabbitMQ is preferred
     
Frontend
  • Strong experience with React.js or Angular
  • JavaScript / TypeScript
  • HTML5, CSS3
  • Responsive UI development
  • Frontend-backend API integration
     
Agentic AI / GenAI
  • Understanding of Generative AI, LLMs, and Agentic AI
  • Hands-on experience integrating LLMs into applications
  • Experience with one or more agentic frameworks such as:
    • LangChain
    • LangGraph
    • CrewAI
    • AutoGen
    • Semantic Kernel
    • Google ADK / AWS Bedrock Agents
  • Knowledge of RAG, embeddings, vector databases, prompt engineering, tool/function calling, and agent orchestration
  • Exposure to MCP / Model Context Protocol is an advantage
  • Understanding of LLM evaluation, observability, guardrails, and responsible AI is preferred
 
Cloud & DevOps
  • Experience with at least one cloud platform: AWS / Azure / GCP
  • Docker and Kubernetes
  • CI/CD pipelines
  • Git / GitHub / GitLab / Bitbucket
  • Cloud-native application development
  • Experience with cloud-based AI services is preferred
     
Data & Integration
  • Strong SQL and database fundamentals
  • Experience with relational and NoSQL databases
  • Exposure to vector databases such as Pinecone, Weaviate, Milvus, OpenSearch, or similar
  • Experience integrating enterprise APIs, third-party services, and data platforms
  • Understanding of data pipelines and event-driven architectures is a plus
     
Forward Deployed Engineer Capabilities
  • Ability to work directly with client engineering and business teams.
  • Strong problem-solving skills and ability to operate in ambiguous environments.
  • Ability to rapidly prototype and demonstrate working solutions.
  • Strong communication and stakeholder-management skills.
  • Ability to explain technical concepts and architecture decisions to both technical and non-technical audiences.
  • Comfortable owning solutions end-to-end—from discovery and design through development, deployment, and production support.
  • Willingness to work closely with customers and adapt solutions based on real-world feedback.
     
Experience
  • 5+ years of experience in software/full-stack development.
  • Strong commercial experience in Java Full Stack Development.
  • At least 1–2 years of hands-on exposure to GenAI / Agentic AI / AI-enabled application development preferred.
  • Experience delivering enterprise applications in production environments.
  • Experience working with large enterprise clients is a strong advantage.
  • BFSI / Healthcare / Retail / Telecom or other regulated-industry experience is preferred.
     
Preferred Qualifications
  • Experience building AI-native applications or agentic workflows.
  • Experience with LLM APIs such as OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Experience with RAG and enterprise knowledge systems.
  • Experience with AI observability, evaluation, guardrails, and governance.
  • Exposure to enterprise security concepts such as OAuth2, JWT, IAM, RBAC, and API security.
  • Experience working in Agile/Scrum environments.
  • Strong analytical, communication, and client-facing skills.