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Remote Java React Jobs in Missouri (NOW HIRING)

Jobgether

... Angular or React, with additional familiarity with Java considered valuable. * Knowledge of ... Remote work flexibility. * Opportunity to contribute to practical AI use cases that improve ...

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Remote Java React information

What is a remote Java React developer?

Remote Java React jobs are positions that involve working with both Java (a popular backend programming language) and React (a widely-used JavaScript library for building user interfaces) while allowing you to work from any location outside of a traditional office setting. These roles typically require developers to build and maintain web applications, handle both server-side and client-side development, and collaborate with teams online. Employers often look for candidates with strong experience in Java, React, and related technologies, as well as good communication skills to work effectively in a remote environment.

What skills and qualifications are needed to thrive as a remote Java React developer?

To thrive as a Remote Java React Developer, you need strong proficiency in Java for backend development and React.js for frontend work, typically backed by a degree in computer science or related experience. Familiarity with tools like Git, RESTful APIs, Docker, and cloud platforms such as AWS or Azure is also important, along with experience using CI/CD systems. Excellent problem-solving, self-motivation, and clear communication skills are crucial for collaborating effectively in a remote environment. These skills ensure you can build robust, scalable applications while working independently and integrating seamlessly with distributed teams.

How do remote Java React developers typically collaborate with team members?

Remote Java React developers often work closely with cross-functional teams, including backend engineers, UX/UI designers, and product managers, using collaboration tools like Slack, Jira, and GitHub. Regular virtual meetings, code reviews, and agile sprint planning sessions are common practices to maintain alignment and transparency. Effective communication and proactive status updates are essential for overcoming challenges related to time zone differences and ensuring that project milestones are met on schedule.

What is the difference between Remote Java React vs Remote Java Spring?

AspectRemote Java ReactRemote Java Spring
Required CredentialsBachelor's in CS, Java, React skillsBachelor's in CS, Java, Spring framework experience
Work EnvironmentFrontend & backend development, UI focusBackend development, API & server-side focus
Industry UsageWeb apps, SaaS platforms, client-facing projectsEnterprise apps, microservices, backend systems
Common Search IntentJobs combining Java and React skillsJava backend roles using Spring framework

Remote Java React roles typically focus on full-stack development involving both Java and React technologies, emphasizing UI and frontend integration. In contrast, Remote Java Spring positions are more backend-oriented, utilizing the Spring framework for building scalable server-side applications. Both roles require Java expertise, but their focus areas and industry applications differ, catering to different project needs and developer skill sets.

What are popular job titles related to Remote Java React jobs in Missouri?

For Remote Java React jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Java React jobs in Missouri look for?

The top searched job categories for Remote Java React jobs in Missouri are:

What cities in Missouri are hiring for Remote Java React jobs?

Cities in Missouri with the most Remote Java React job openings:

Remote Java React jobs near you

AI Agent Developer

On-site, Remote

Jobgether
See more jobs at Jobgetherexternal

Contractor

Posted 10 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Agent Developer based in Netherlands.

This role offers the opportunity to design and deliver intelligent AI agents that transform how users interact with enterprise systems.
You will build conversational experiences that automate tasks, answer questions, and execute complex business workflows.
Working with Microsoft Copilot Studio and modern generative AI technologies, you will connect agents to data, applications, APIs, and knowledge sources.
You will develop RAG solutions that make enterprise information more accessible, relevant, and actionable.
The role combines hands-on development with solution design, production support, governance, and continuous optimization.
You will work closely with business stakeholders to identify high-value automation opportunities and turn them into scalable AI solutions.
This is an ideal opportunity for an AI-focused developer who enjoys applying emerging technologies to practical enterprise challenges.

Accountabilities
  • Design, develop, configure, and deploy AI agents using Microsoft Copilot Studio and related generative AI technologies.
  • Build conversational experiences capable of answering user questions, automating tasks, and executing business workflows.
  • Integrate AI agents with enterprise applications, APIs, databases, SharePoint, Microsoft 365, and third-party platforms.
  • Develop, implement, and optimize Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.
  • Create and manage Power Automate workflows and AI-enabled business processes to improve operational efficiency.
  • Configure agent topics, actions, plugins, connectors, orchestration logic, and other components required for effective agent experiences.
  • Apply appropriate governance, security, compliance, and responsible AI practices throughout the development lifecycle.
  • Monitor agent performance, adoption, usage metrics, and response quality, using insights to drive continuous improvements.
  • Partner with business stakeholders to identify automation opportunities, define AI use cases, and translate business needs into technical solutions.
  • Support production deployments, troubleshoot issues, and maintain the reliability and operational performance of AI solutions.
Requirements
  • Experience working with generative AI concepts and technologies, including Large Language Models (LLMs), prompt engineering, RAG architectures, AI agent design, conversational AI, and Natural Language Processing (NLP).
  • Hands-on experience with Microsoft Copilot Studio is preferred, along with familiarity with Microsoft 365 Copilot.
  • Strong programming capabilities in Python and JavaScript/TypeScript, with knowledge of REST APIs and JSON.
  • Experience with modern front-end technologies such as Angular or React, with additional familiarity with Java considered valuable.
  • Knowledge of Microsoft Azure, Azure OpenAI, and Azure AI Services.
  • Experience working with SQL Server and enterprise data environments.
  • Understanding of AI agent architecture, integrations, connectors, orchestration, and enterprise workflow automation.
  • Ability to design secure, scalable, and maintainable AI solutions that align with organizational governance and compliance requirements.
  • Strong analytical and problem-solving skills, with the ability to troubleshoot AI solutions and continuously improve their effectiveness.
  • Excellent communication and collaboration skills, with the ability to work effectively with technical teams and business stakeholders.
  • A proactive mindset and enthusiasm for emerging AI technologies, experimentation, automation, and solving complex business problems.
Benefits
  • Contract opportunity with a focus on enterprise AI and intelligent automation.
  • Opportunity to work with Microsoft Copilot Studio, Azure OpenAI, RAG, LLMs, and modern AI agent technologies.
  • Exposure to enterprise-scale integrations involving Microsoft 365, SharePoint, APIs, databases, and third-party platforms.
  • Remote work flexibility.
  • Opportunity to contribute to practical AI use cases that improve business processes and operational efficiency.
  • Hands-on experience across AI development, cloud technologies, automation, governance, and production operations.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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