LLM-Driven Full-Stack Engineer (Java/Python, GCP)

Ampcus Inc

Irving (TX)

On-site

USD 120,000 - 160,000

Full time

11 days ago
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Job summary

Ampcus Inc. is seeking a talented software professional to join our AI/ML team in Irving, TX (with potential remote opportunities). You will design and deploy LLM-based agents, build Java Spring Boot backends, and implement GenAI solutions on Google Cloud.

The role emphasizes RAG pipelines, context engineering, MLOps, and production-grade CI/CD for scalable, cost-efficient AI systems. Ideal candidates have 3–7 years in software, strong Python, and hands-on production experience with AI agents.

Qualifications

  • 3–7 years of software development experience.
  • Strong hands-on Python development.
  • 2 years building real-world AI agents in production.
  • 4+ years Java backend experience with Spring Boot.
  • Experience with AI/ML or Generative AI projects.

Responsibilities

  • Agentic AI development: design and develop LLM-based agents and orchestration workflows.
  • Java backend engineering: build scalable Spring Boot microservices and REST APIs.
  • GCP & GenAI: develop AI solutions using Vertex AI, Gemini, BigQuery, Cloud Run, Pub/Sub.
  • LLM, RAG & context engineering: implement retrieval-augmented generation pipelines and embeddings.
  • MLOps & deployment: production-grade CI/CD, logging, observability, and guardrails.

Skills

Python
Java backend
Spring Boot
LLMs/GenAI
GCP Vertex AI
Agent orchestration
REST APIs
Distributed systems

Tools

Google ADK
MCP servers
Vertex AI

Job description

Ampcus Inc. is seeking a talented software professional to join our AI/ML team in Irving, TX (with potential remote opportunities). You will design and deploy LLM-based agents, build Java Spring Boot backends, and implement GenAI solutions on Google Cloud.

The role emphasizes RAG pipelines, context engineering, MLOps, and production-grade CI/CD for scalable, cost-efficient AI systems. Ideal candidates have 3–7 years in software, strong Python, and hands-on production experience with AI agents.

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