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Java Gen AI Engineer

CrackaJack Digital Solutions LLC

Role: Java AI Engineer

We are seeking a Senior Java Engineer with hands-on GenAI engineering experience to design and implement AI-driven solutions, Agentic workflows, and performance engineering frameworks. This role requires a strong blend of technical depth, practical AI engineering experience, and a genuine passion for the evolving AI landscape.

This is a flexible engagement, with openness to global talent. The right candidate will play a critical role in accelerating AI adoption and scaling internal capabilities.

Responsibilities

  • Design and implement AI-driven solutions aligned with business and executive priorities as well as ability make these solutions interoperable with current applications
  • Translate AI concepts into practical, production-ready implementations

Collaborate with internal stakeholders and existing offshore teams

  • Help bridge gaps in AI expertise and scale knowledge across the organization
  • Contribute to UI/web-based AI implementations where applicable (Open WebUI or similar tools)
  • Experience with cloud platforms (AWS, Azure, GCP) and AI service integration
  • Exposure to enterprise-scale AI projects and data pipelines
  • Understanding of security best practices in AI applications

Requirements

  • 1+ year of hands-on AI engineering experience (LLMs, AI tools, applied AI systems)
  • Proven ability to “walk the talk” — strong hands-on builder, not just theoretical

Experience designing and deploying real-world AI solutions

  • Strong understanding of modern AI trends, tools, and frameworks
  • Deep passion for technology and AI — sees it as more than just a job
  • Self-driven, proactive, and able to operate with high visibility and urgency
  • Comfortable working in fast-moving, evolving environments
  • Strong communicator wi

Preferred

  • Experience with AI-enabled web interfaces / UI frameworks (e.g., Open WebUI or similar)
  • Background working with distributed or offshore teams
  • Ability to operate effectively with limited overlap across time zones