Full-Stack AI Engineer: LLMs, Java & GCP

Ampcus, Inc

Irving (TX)

Sur place

USD 120 000 - 180 000

Plein temps

14 jours+

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Résumé du poste

Ampcus Inc. is seeking a talented software engineer to join our AI/ML focused team in Irving, TX with secondary in Charlotte. You will design and implement LLM-based agents, build multi-agent orchestration, and connect agents to enterprise APIs and databases.

The role combines Java backend development, Spring Boot, and GCP Vertex AI to deliver scalable AI-driven workflows. You will work on production-grade AI projects, focus on performance and cost optimization, and collaborate across teams to

Qualifications

  • ,
  • 3-7 years of software development experience.
  • Strong hands-on experience in Python.
  • 2 years experience building and deploying real-world agents in Production environment.
  • Strong hands-on experience in Java backend development (4 years exp).
  • Hands-on experience in developing AI/ML or Generative AI projects.

Responsabilités

  • Design and develop LLM-based AI agents capable of reasoning, planning, and task execution.
  • Build and manage multi-agent orchestration workflows.
  • Enable agents to interact with enterprise systems (APIs, databases, tools).
  • Develop scalable backend applications using Java, Spring Boot, and Microservices.
  • Build REST APIs to support AI-driven workflows and integrations.
  • Deploy and monitor AI models and agents in production.

Connaissances

Python
Java backend development
Agent orchestration
GenAI/LLMs
GCP Vertex AI
REST APIs

Outils

Google ADK
MCP servers

Description du poste

Ampcus Inc. is seeking a talented software engineer to join our AI/ML focused team in Irving, TX with secondary in Charlotte. You will design and implement LLM-based agents, build multi-agent orchestration, and connect agents to enterprise APIs and databases.

The role combines Java backend development, Spring Boot, and GCP Vertex AI to deliver scalable AI-driven workflows. You will work on production-grade AI projects, focus on performance and cost optimization, and collaborate across teams to

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