Senior GenAI Engineer: AI Agents, LLMs & AWS Cloud

Quantum Technologies. LLC; Phoenix (AZ); Sur place; USD 120 000 - 170 000; Plein temps

Résumé du poste

Quantum Technologies. LLC in Phoenix is seeking an experienced Cloud AI Engineer to develop AI-driven solutions on AWS, including agents, chatbots, and RAG apps.

You will work with Bedrock or other enterprise LLM platforms, implement vector databases, embeddings, and semantic search, and build robust data ingestion and microservice architectures. The role emphasizes AI safety, guardrails, and routing logic, with a focus on enterprise-grade cloud-native development and integration with financial

Qualifications

• Experience with AWS cloud services and AI agents development.
• Building AI agents, chatbots, and RAG applications.
• Experience with vector databases, embeddings, and semantic search.
• Designing data ingestion and retrieval pipelines for scalable apps.
• Experience with microservices, REST APIs, and distributed systems.
• Implementing AI guardrails, safety controls, and routing logic.

Responsabilités

• Develop cloud-native AI applications on AWS platforms.
• Build AI agents and chatbots integrating with enterprise systems.
• Design data pipelines for ingestion, storage, and retrieval.
• Implement vector storage, embeddings, and semantic search features.
• Develop and maintain microservices and RESTful APIs.
• Implement AI guardrails and routing logic for safe deployments.

Connaissances

AWS cloud

AI/ML

REST APIs

Distributed systems

Prompt engineering

LLM apps

Vector databases

Semantic search

Data pipelines

Outils

AWS Bedrock

AWS Agent Core

Serverless

Event-driven architecture

Lambda

S3

Description du poste

Quantum Technologies. LLC in Phoenix is seeking an experienced Cloud AI Engineer to develop AI-driven solutions on AWS, including agents, chatbots, and RAG apps.

You will work with Bedrock or other enterprise LLM platforms, implement vector databases, embeddings, and semantic search, and build robust data ingestion and microservice architectures. The role emphasizes AI safety, guardrails, and routing logic, with a focus on enterprise-grade cloud-native development and integration with financial