Senior AI Engineer at Phoenix, AZ

Apptad Inc.
Phoenix, United States of America
16 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 198K

Job location

Phoenix, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Software as a Service
Cloud Computing
Distributed Systems
Python
Machine Learning
Node.js
Open Source Technology
Software Safety
Software Engineering
TypeScript
PyTorch
Large Language Models
Multi-Agent Systems
Backend
Event Driven Architecture
Build Management
Kubernetes
HuggingFace
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

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