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Part Time Apprentice Java Developer Jobs (NOW HIRING)

Conflux Systems

Java AI Architect

Texarkana, TX · On-site

$70/hr

Inform the candidate that they must not have any other part-time or full-time employment while ... Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design. • Strong Python ...

Caterpillar

Senior Software Engineer

Irving, TX · On-site +1

$117K - $155K/yr

Architect, design and develop distributed backend systems and RESTful API web services using Java ... Azure DevOps, Jenkins, shell scripting). Collaborate with cross-functional teams to gather ...

Folger

... programming, and public engagement. Over 9 months,theapprentices will work closely ... September 2026 to May 2027 * Part-time (20 hours/week) position

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How much do part time apprentice java developer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for part time apprentice java developer in the United States is $98,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $102,500.00 per year, depending on experience, location, and employer.

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Part Time Apprentice Java Developer jobs near you
Infographic showing various Part Time Apprentice Java Developer job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 100% Physical job distribution, with an average salary of $98,791 per year, or $47.5 per hour.

Java AI Architect

Conflux Systems

Texarkana, TX • On-site

$70/hr

Full-time, Part-time

Posted 4 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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