AI Engineer

Purple Drive; Phoenix (AZ); On-site; USD 140,000 - 210,000; Full time

Job summary

Purple Drive is seeking an AI Engineer to lead the design and delivery of agentic AI solutions. You will work with Node.js, TypeScript and Python, building large-scale distributed systems and Gen AI workloads.

This role requires deep expertise in LLM-based workflows, model orchestration, and cross-team collaboration. You will own critical components from planning to deployment, influence technical direction, and ensure robust APIs, data pipelines, and cloud infrastructure supporting AI-driven

Qualifications

• 6+ years building large-scale distributed systems with ML/AI workloads.
• Experience with TypeScript and Python; Gen AI and agentic AI.
• Hands-on with PyTorch, TensorFlow, Hugging Face.
• Knowledge of LangChain, LlamaIndex, CrewAI and vector databases.
• Experience with AWS, Azure, Google Cloud and container tech.
• Proven ownership of cross-team agentic systems.
• Strong backend, APIs, data pipelines, and cloud infra basics.
• Ability to communicate AI concepts to non-technical stakeholders.

Skills

Distributed systems

LLM systems

agentic workflows

async processing

queues

streaming systems

TypeScript

Python

Gen AI

Agentic AI

LangChain

LlamaIndex

CrewAI

vector databases

AWS

Azure AI

Google Cloud Vertex AI

containerization

APIs

data pipelines

cloud infrastructure

agentic AI stack

planning

Tools

LangChain

LlamaIndex

CrewAI

PyTorch

TensorFlow

Hugging Face

AWS

Azure AI

Google Cloud Vertex AI

Docker

Kubernetes

Job description

AI Engineer - Agentic AI, Node Js Typescript and Python, Gen AI, Agentic AI . Client is not considering candidates who do not have experience on this.

Technical Skills:

• 6+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming systems
• Experience working on Typescript and Python, Gen AI, Agentic AI
• Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Face.
• Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases
• Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI) and containerization technologies
• Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
• Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
• Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
• Fluency with AI-assisted and agentic development workflows.
• Ability to influence technical direction and align teams without formal authority.
• Problem-solving, cross-functional collaboration, and the ability to articulate complex AI concepts to non-technical business stakeholders