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Sr. Full Stack Engineer – LLM Integration

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Onsite

Sr. Full Stack Engineer – LLM Integration

IntePros

Sr. Full Stack Engineer – LLM Integration

Skills

PythonJavaAI

19 days ago

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Important information


Contract type:

Permanent

Location:

Dallas, TX, USA

Work mode:

Onsite

Published on:

30 September 2026

What they need


About The Role We're looking for a senior full-stack engineer with hands-on LLM experience to build the off-chain side of a new loan onboarding platform. The platform uses existing LLMs to extract terms from credit agreements and turn them into executable code on the blockchain. You'll build the systems around that process. The work covers integrating LLM-generated artifacts, building review and approval tools, delivering reporting, and deploying generated artifacts into the platform. The role is full-stack with a heavier focus on the backend.

What You'll Do

  • Build and maintain backend services in Java
  • Integrate LLM-generated artifacts with other platform components
  • Develop Angular dashboards and UX for reviewing and approving LLM-generated data
  • Build downstream reporting capabilities
  • Deploy generated artifacts into the platform

What You Bring

  • Senior-level software engineering background (10–15 years ideal; strong candidates with 7–8 years will be considered)
  • Strong Java/backend development skills
  • Angular frontend experience
  • Hands-on experience integrating LLMs into production applications, such as working with LLM outputs, APIs, or AI-generated artifacts (not just using AI coding assistants)
  • Solid software engineering fundamentals
  • Experience with complex integration work and the ability to pick up new domain knowledge quickly

Nice to Have

  • Banking or loan/credit experience
  • Python experience, particularly for AI/LLM integration
  • Full-stack experience beyond Java and Angular
  • Experience using AI development tools such as Codex or Claude

Environment Java backend, Angular frontend, and Python for AI/LLM integration. The platform runs on an internal network, so cloud experience is not required.

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