Senior AI Engineer at Phoenix, AZ

Apptad Inc.

Phoenix, AZ, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Compensation

$197,600.0

Working hours

Regular working hours

Job source

careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software as a Service Cloud Computing Distributed Systems Python (Programming Language) Machine Learning Node.Js Open Source Technology Software Safety Software Engineering

+15 more

TypeScript Pytorch Large Language Models Multi-Agent Systems Backend Event Driven Architecture Build Management Kubernetes HuggingFace Apache Kafka Machine Learning Operations Virtual Agents Software Coding Automation Anywhere Microservices

Job description

Design and build AI agent systems that can plan, make decisions, and interact with tools/APIs
Develop and maintain production-grade AI workflows using LLMs and agent frameworks
Work on core components like:
Agent orchestration
Memory and planning systems
RAG (retrieval-based AI pipelines)
LLM integration and APIs
Lead technical design discussions and guide engineering teams
Ensure AI systems are reliable, scalable, and safe for enterprise use
Collaborate with product and UX teams to improve AI-driven user experiences
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Requirements

We are looking for a Senior AI Engineer specializing in Agentic AI to design and build intelligent systems that can reason, plan, and take actions autonomously. This is a hands-on, individual contributor role where you will lead technical decisions and develop scalable AI solutions used across multiple products., * 10+ years of experience in backend or distributed systems engineering

Strong coding skills (Python / TypeScript / Go)
Experience with cloud platforms (AWS or GCP) and Kubernetes
Hands-on experience with LLMs, AI agents, or ML systems
Knowledge of tools like LangChain, LangGraph, LlamaIndex, or similar
Experience with APIs, microservices, and event-driven systems (Kafka, etc.)
Strong problem-solving skills and ability to work in ambiguous environments, * Experience building AI systems in fintech or regulated industries
Familiarity with RAG pipelines, evaluation frameworks, and AI safety
Experience with Hugging Face, PyTorch, or ML model deployment
Contributions to AI/ML or open-source projects