Job Description
Our Client, an IT Services and Consultant company, is looking for an Agentic AI Engineer for their Phoenix, AZ/ New York, NY location.
Responsibilities:
- Build and own large-scale distributed and agentic AI systems.
- Develop autonomous workflows leveraging LLMs, planning, tool usage, memory, and evaluation.
- Design backend services, APIs, data pipelines, and cloud-native solutions.
- Collaborate across teams to deliver scalable, reliable AI-powered products.
- Implement workflow orchestration, asynchronous processing, streaming, and event-driven architectures.
Requirements:
- 10+ years of experience building large-scale distributed systems.
- Strong experience with LLM systems, agentic workflows, or advanced ML infrastructure.
- Proficiency in Python, TypeScript, and/or Go.
- Experience with REST, gRPC, AWS/GCP, Kubernetes, and Kafka.
- Familiarity with orchestration frameworks such as LangGraph, LangChain, Airflow, or similar.
- Ability to work effectively in ambiguous environments and drive technical direction.
- Preferred Skills
- AI-assisted development workflows.
- Event-driven architectures and streaming platforms.
- Strong leadership and cross-functional collaboration skills.
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Skills
Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Cloud Computingunmatched
Cross-Functionalunmatched
Data Managementunmatched
Distributed Computingunmatched
GCP (Good Clinical Practices)unmatched
Health Planunmatched
Information Technology Consultingunmatched
Large-Scale Systemsunmatched
Leadershipunmatched
Memory Hardwareunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
Team Playerunmatched
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