Production AI Engineer: Agentic AI & LLM Orchestration

Motion Recruitment; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Motion Recruitment is partnering with an innovative enterprise leveraging Agentic AI and GenAI initiatives. The role focuses on building real-world AI products and large-scale AI systems, both internal and customer-facing, to drive tangible business outcomes.

You will shape agent-driven experiences, orchestrate multi-agent workflows, and deploy scalable AI backends using Python across AWS or Google Cloud.

Qualifications

• Strong software engineering experience with Python.
• Hands-on experience building Agentic AI solutions.
• Experience with Large Language Models (LLMs).
• Knowledge of agent orchestration frameworks and multi-agent systems.
• Experience designing and implementing RAG architectures.
• Proven ability to develop and deploy production AI applications.
• Backend development and API design experience.
• Cloud experience with AWS and/or Google Cloud Platform.
• Ability to clearly articulate personal contributions, technical decisions, and system architecture.

Responsibilities

• Design, build, and deploy production-grade Agentic AI applications.
• Develop multi-agent workflows and orchestration frameworks.
• Build and optimize RAG (Retrieval-Augmented Generation) solutions.
• Integrate LLMs into enterprise-scale platforms and products.
• Develop scalable APIs and backend services using Python.
• Architect cloud-native AI solutions in AWS and/or Google Cloud Platform.
• Collaborate with engineering, product, and business teams to deliver impactful AI capabilities.
• Contribute to AI architecture, governance, evaluation, and monitoring best practices.
• Drive AI initiatives from concept through production deployment.

Skills

Python

Agentic AI

LLMs

Agent orchestration

RAG architectures

Production AI

APIs design

Cloud AWS

Google Cloud

Tools

Kubernetes

Kafka

Job description

Motion Recruitment is partnering with an innovative enterprise leveraging Agentic AI and GenAI initiatives. The role focuses on building real-world AI products and large-scale AI systems, both internal and customer-facing, to drive tangible business outcomes.

You will shape agent-driven experiences, orchestrate multi-agent workflows, and deploy scalable AI backends using Python across AWS or Google Cloud.