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Agentic AI Developer/ Architect

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Remote

Agentic AI Developer/ Architect

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Agentic AI Developer/ Architect

Skills

Google Cloud PlatformPythonJavaDevOpsMicroservicesSpring BootAIAWSKubernetesAzure

16 days ago

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Important information


Contract type:

Freelance / Contract

Location:

United States

Work mode:

Remote

Published on:

5 October 2026

What they need


Job Title: Agentic AI Developer/ Architect

Location: 100% Remote

Job Type: Long-term Contract

Job Description

We are seeking an experienced AI Architect with expertise in Generative AI, Agentic AI, and Java development to design and implement scalable, secure, AI-driven enterprise applications. The ideal candidate will have strong experience building Java-based microservices while integrating LLMs, RAG pipelines, vector databases, and Agentic AI solutions into cloud-native applications.

Responsibilities

  • Design scalable AI-enabled enterprise applications and architecture.

  • Develop and architect Java (Spring Boot) microservices and REST APIs.

  • Design and implement Agentic AI solutions using AI orchestration frameworks.

  • Integrate LLMs, RAG, vector databases, and AI agents into enterprise applications.

  • Collaborate with engineering, product, and data teams to deliver AI solutions.

  • Define architecture standards, security, and best practices.

  • Evaluate emerging AI technologies and mentor development teams.

Required Qualifications

  • 8+ years of application architecture and enterprise software development.

  • Strong Java development experience with Spring Boot, Microservices, REST APIs, and Java 11/17+.

  • Hands-on experience with Generative AI, Agentic AI, LLMs, RAG, prompt engineering, AI agents, and vector databases.

  • Experience with AI orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI.

  • Strong cloud experience with AWS, Azure, or GCP.

  • Knowledge of Python is a plus.

  • Experience with MLOps, CI/CD, Kubernetes, and enterprise security is preferred.

Bonus Points

  • Experience in gaming, media, or interactive entertainment industries.

  • Familiarity with DevSecOps and CI/CD pipelines for AI-driven applications.

  • Experience integrating GenAI solutions into employee- or player-facing platforms.

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