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Part Time Java Ee Developer Jobs (NOW HIRING)

Conflux Systems

Java AI Architect

Texarkana, TX · On-site

$70/hr

Java EE, React JS, MSGithub Copilot * Rate: $70/hr. * Location: Remote * Duration: 6 months * See ... Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design. • Strong Python ...

Walter

Backend Java Developer

$51.75 - $67/hr

We are looking for experienced Back-end Java Developer to join our team and work with one of the ... We prefer full-time (40 hr/week) but open to considering part-time who can ramp up to full-time in ...

Best Fit Global

Developer - Programmer

Washington, DC · On-site

The program seeks a Java developer with demonstrated experience delivering enterprise applications ... jobs in Java. Part Time or Full Time: Full-time Notes: Certification Requirements: Schedule ...

Atria Group LLC

Java, JQuery, HTML

Dallas, TX · Remote

$56.75 - $72.25/hr

Programming Languages - Java - 5 Yrs. * Programming Technologies - jQuery - 5 Yrs. * Web ... Current is only 2 months at full time, but we have a part-time developer position through next year ...

T3i, Inc.

Electrical Engineer - UAS

San Antonio, TX

The EE will design, build, debug, and iterate on complete electrical systems including flight ... HireRight background check amp; drug screening Type of Employment: Part-Time (with potential to ...

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How much do part time java ee developer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for part time java ee developer in the United States is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.46 per hour, depending on experience, location, and employer.

What is the difference between Part Time Java EE Developer vs Part Time Java Developer?

AspectPart Time Java EE DeveloperPart Time Java Developer
Required SkillsJava EE, Servlets, JSP, Web ServicesCore Java, Java SE, Basic Web Technologies
Work EnvironmentWeb applications, enterprise systemsDesktop, simple web applications
Industry UsageEnterprise, finance, e-commerceStartups, small businesses, freelance projects

Part Time Java EE Developers focus on enterprise-level web applications using Java EE technologies, while Part Time Java Developers typically work on smaller-scale projects with core Java skills. The roles differ mainly in complexity and scope, but both require strong Java fundamentals and are common in various industries.

What cities are hiring for Part Time Java Ee Developer jobs?

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What are the most commonly searched types of Java Ee Developer jobs?

The most popular types of Java Ee Developer jobs are:

Part Time Java Ee Developer jobs near you

Java AI Architect

Texarkana, TX • On-site

Conflux Systems
IT Services • 11 - 50 employees
Learn more about Conflux Systemsexternal

$70/hr

Full-time, Part-time

Posted 15 days ago

Job description

Visa not allowed.
  • CPT EAD
  • Stem - OPT
  • OPT EAD
  • FTE to Subco conversion - 6 months cooling period we need to follow or get approval.

  • Atos has stringent compliance and security requirements that all employees are expected to adhere to.
  • Inform the candidate that they must not have any other part-time or full-time employment while working with Atos on this assignment.
  • Obtain explicit confirmation from the candidate that they understand and are comfortable with these requirements and the expected work arrangement before proceeding further.

  • Client Name: Digital Practice - Internal Customer
  • Posman ID: POSMAN_127590
  • Position ID: 30390692
  • Job Posting ID: ATGTJP00102507
  • Role/Skills: Java EE, React JS, MSGithub Copilot
  • Rate: $70/hr.
  • Location: Remote
  • Duration: 6 months
  • Job Description: See below:

Must Have Technical/Functional Skills:
• Proven experience as an AI Architect defining enterprise AI architecture, standards, and governance.
• Hands-on experience designing/building agent-based approaches and autonomous workflows.
• Strong expertise in Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design.
• Strong Python development experience and ability to guide teams with reference implementations.
• Experience with RAG, vector databases, and cloud deployments.
• Practical experience with GitHub Copilot adoption patterns including guardrails, prompt library management, extensions, and metrics
Preferred / Nice to Have
• Experience designing enterprise adoption frameworks for Copilot/AI with change management and champion models.
• Experience building Copilot-led accelerators for engineering productivity and rapid prototyping.
• Knowledge of AI governance requirements and productionization practices.
Roles & Responsibilities
1) Architecture & Strategy (AI / Agentic AI)
• Define the overall solution architecture for enterprise agentic AI programs and create the target-state roadmap
• Establish AI architecture standards, reference patterns, and governance guidelines for adoption at scale.
• Design architecture across LLMs/frameworks, vector databases, and cloud deployments, including Responsible AI practices.
2) Autonomous Agent Design & Orchestration (Copilot-led)
• Architect and enable autonomous agent workflows using GitHub Copilot, including multi-step orchestration and enterprise guardrails.
• Define a framework for prompt libraries, guardrails, extensions/integrations, and productivity metric tracking for Copilot adopt
• Drive repeatable implementation approach and best practices for Copilot-based engineering interventions and productivity tracking
• Enable Copilot-driven acceleration from design artifacts (e.g., Figma requirement sheets) to boilerplate code and supporting assets, where applicable.
• Establish patterns for agent-assisted testing and a roadmap toward autonomous testing where feasible (e.g., test case generation, script automation, regression maintenance).
3) Prompt Engineering Excellence
• Own enterprise prompt strategy including Zero-shot / Few-shot / Chain-of-Thought prompting techniques and prompt governance.
• Create reusable prompt frameworks/cookbooks, templates, and standards for consistent outcomes across teams.
4) RAG + Model/Tool Orchestration (Python-led)
• Architect and govern RAG pipelines, knowledge grounding approaches, and multi-turn agent orchestration using frameworks such as LangChain (or equivalent).
• Provide hands-on guidance for implementation in Python, including reference implementations and integration patterns.

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