GEN AI Engineer

Propertyvalue Quantum Technologies Llc
Charlotte, NC, United States
6 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$180,960.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence BigQuery Databases Distributed Systems Python (Programming Language) Software Engineering Systems Integration Data Logging Google Cloud Large Language Models
+6 more
Spring-boot Generative AI Backend Google Cloud Functions Restful APIs Microservices

Job description

  • 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)
  • Java & Backend Engineering
  • Develop scalable backend applications using Java, Spring Boot, and Microservices
  • Build REST APIs to support AI-driven workflows and integrations
  • Ensure performance, scalability, and maintainability of services
  • Google Cloud Platform & GenAI Implementation
  • Develop AI solutions using Vertex AI, Gemini, BigQuery, Cloud Run, and Pub/Sub
  • Work with Vertex AI Agent Builder and Google ADK for agent development
  • LLM, RAG & Context Engineering
  • Implement Retrieval-Augmented Generation (RAG) pipelines
  • Build context-aware systems using vector search and embeddings
  • Optimize prompts and workflows for performance and cost
  • MLOps & Deployment
  • Deploy and monitor AI models and agents in production
  • Implement CI/CD pipelines, logging, and observability
  • Ensure reliability, safety, and guardrails for AI systems

Requirements

  • 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 of experience in developing AI/ML or Generative AI projects
  • Core Technical Skills
  • Hands on experience on Google ADK, MCP servers, agent to agent communication, agent orchestration.
  • Java (4+), Spring Boot, Microservices
  • REST APIs and distributed systems design
  • Hands on experience on Python, LLMs, GenAI, and agent-based systems
  • Hands on experience with Google Cloud Platform services (Vertex AI preferred)

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:49 min

Augmenting junior and principal engineering roles with AI

Neel Sundaresan Neel Sundaresan +1 · World Congress 2026 Europe

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

2:48 min

Exploring generative AI learning paths and hands-on labs

Asrar Asrar · World Congress 2024

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