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AI Engineer
Job Location:
Job Location:
Phoenix, AZ - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
25 August 2026 (Yesterday)
Posted:
Application Deadline:
22 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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
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
