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# Full Stack AI developer

- **Company:** Ampcus Incorporated
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Databases, Distributed Systems, Python (Programming Language), Machine Learning, Software Engineering, Data Logging, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Spring-boot, Generative AI, Backend, Agentic-AI, Google Cloud Functions, Google Gemini, Restful APIs, Microservices
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/ff6eea3f-3a7c-4739-9f4c-cd0eb0db3146/full-stack-ai-developer

## About the Role

+ 3-7 years of software development experience
 + Strong hands-on experience in Python
 + 2 years experience building and deploying real-world agents in a production environment
 + Strong hands-on experience in Java backend development (4 years exp)
 + Hands-on 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+ years), Spring Boot, Microservices
 + REST APIs and distributed systems design
 + Hands-on experience on Python, LLMs, GenAI, and agent-based systems
 + Hands-on experience with GCP services (Vertex AI preferred)

## Description

* Agentic AI Development:
 + 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
 * GCP & 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