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1099 Contractor Full Stack Developer Jobs in Ohio

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 ...

Senior Full Stack Developer Location: Columbus, OH (onsite) Work Model: Hybrid -- 4 days onsite, 1 day remote Type: Full-time Relocation notice -- please read before applying. This is an onsite ...

Senior Full Stack Developer Location: Columbus, OH (onsite) Work Model: Hybrid -- 4 days onsite, 1 day remote Type: Full-time Relocation notice -- please read before applying. This is an onsite ...

Full Stack Developer - Advanced Location: Columbus OH * We are looking for a Java Full Stack Developer / Forward Deployed Engineer with strong hands-on experience in Java, Spring Boot, modern ...

Senior Full Stack Developer Location: Columbus, OH (onsite) Work Model: Hybrid -- 4 days onsite, 1 day remote Type: Full-time Relocation notice -- please read before applying. This is an onsite ...

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 ...

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 ...

Full Stack Developer

Sandusky, OH · On-site

$110 - $150/hr

About the role Three things make this different from most "full stack" postings, plus one that will ... An SRE owns our delivery platform and GitOps practice. Another engineer owns the integration layer ...

Full Stack Developer 2

Columbus, OH · On-site

$80 - $99/hr

Aug 19, 2026 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 ...

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 ...

Showing results 21-40

1099 Contractor Full Stack Developer information

What is a 1099 contractor full stack developer?

A 1099 Contractor Full Stack Developer is a self-employed professional who is hired to work on both front-end and back-end aspects of web development projects. The '1099' refers to the IRS form used to report income for independent contractors in the U.S., meaning they are not employees but work on a contractual basis. These developers typically manage their own taxes, work for multiple clients, and have flexibility in choosing their projects. They are responsible for delivering complete web solutions, from designing user interfaces to building and maintaining server-side logic.

What are the key skills and qualifications needed to thrive as a 1099 contractor full stack developer, and why are they important?

To thrive as a 1099 Contractor Full Stack Developer, you need strong proficiency in both front-end and back-end programming languages (such as JavaScript, Python, HTML/CSS, and SQL), as well as experience with frameworks like React, Node.js, or Django. Familiarity with cloud platforms, version control systems like Git, and relevant certifications (e.g., AWS Certified Developer) are typically valuable. Excellent time management, communication, and problem-solving skills are crucial for meeting project deadlines and collaborating with diverse clients. These skills enable contractors to deliver high-quality, end-to-end solutions efficiently while adapting to varying project requirements.

What are some common challenges faced by 1099 contractor full stack developers when managing multiple client projects?

As a 1099 Contractor Full Stack Developer, one of the main challenges is effectively balancing multiple client projects with varying requirements and deadlines. Contractors are responsible for their own time management, communication, and project prioritization, which can be demanding without the structure of a traditional team. It's important to set clear expectations with clients, use project management tools, and maintain transparent communication to ensure all deliverables are met. Additionally, staying up-to-date with both front-end and back-end technologies is essential, as clients often expect versatile technical expertise.

What is the difference between 1099 Contractor Full Stack Developer vs W-2 Employee Full Stack Developer?

Aspect1099 Contractor Full Stack DeveloperW-2 Employee Full Stack Developer
Tax StatusIndependent contractor responsible for taxesEmployee with taxes withheld by employer
Work EnvironmentTypically freelance or project-basedFull-time, in-office or remote
CredentialsSame technical skills, certifications optionalSame technical skills, certifications optional
Employer UsageHired for specific projects or short-term needsPart of company's regular staff

In summary, a 1099 Contractor Full Stack Developer works independently on projects, managing their taxes, while a W-2 Employee Full Stack Developer is a full-time staff member with taxes withheld by the employer. Both roles require similar technical skills, but their employment status and work arrangements differ significantly.

What cities in Ohio are hiring for 1099 Contractor Full Stack Developer jobs?

Cities in Ohio with the most 1099 Contractor Full Stack Developer job openings:

Infographic showing various 1099 Contractor Full Stack Developer job openings in Ohio as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Full Stack Developer - Advanced

Argyllinfotech

Columbus, OH • On-site

Full-time

Posted 14 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.