Technology

Agentic AI Developer/ Architect

Connect Tech+TalentAustin, TX🇺🇸United States

Why this role stands out

This fully remote role offers an exciting opportunity to architect cutting-edge Agentic AI solutions, leveraging your deep expertise in Java and Generative AI to build scalable, enterprise-grade applications. You'll thrive here if you're a seasoned architect passionate about integrating LLMs, RAG, and AI agents into cloud-native environments, driving innovation in a forward-thinking company. Apply now to shape the future of AI development.

Quick overview

SeniorityMid Senior

Work modeHybrid

LocationAustin, TX, United States

MicroservicesSpringSpring BootAWSMLOpsAzureGenerative AIGoogle CloudJavaKubernetesPythonREST

Job description

Job Title: Agentic AI Developer/ Architect

Location: local to Austin and available to work in a hybrid model, with 3 days per week onsite

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 Google Cloud Platform.
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.