AI Engineer

K&K Global Talent Solutions Inc.

Job Location:

Phoenix, AZ - USA

Monthly Salary: Not Disclosed

Posted on: 20 days ago

Vacancies: 1 Vacancy

Job Summary

Job Title - AI Engineer (H1B OPT and EAD also Applicable)
Experience - 8 years
Location - New York NY / Tampa FL / Phoenix AZ
Hire Type - Fulltime (Onsite)

Design develop and deploy scalable AI/ML and GenAI solutions to solve complex business problems. Work closely with data scientists business stakeholders and cloud teams to build production-grade AI systems.

Must Have Technical/Functional 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

Roles & Responsibilities

Drive technical direction for agentic AI initiatives influencing architecture patterns autonomy boundaries and system design.
Design build and operate production-grade agentic AI systems used across multiple products.
Own and evolve shared agentic AI capabilities including:
Design and Develop Agent frameworks and orchestration layers
Planning tool use and memory strategies
Design Retrieval and grounding (RAG) pipelines
LLM infrastructure inference and model gateways
Evaluation observability and safety tooling for autonomous systems
Lead technical design reviews and help teams navigate tradeoffs involving autonomy safety reliability scalability and cost.
Partner across teams to deliver complex cross-cutting agentic AI initiatives from concept to production.
Evaluate emerging models techniques and agentic patterns and translate them into practical enterprise-ready improvements.

Job Title - AI Engineer (H1B OPT and EAD also Applicable) Experience - 8 years Location - New York NY / Tampa FL / Phoenix AZ Hire Type - Fulltime (Onsite) Design develop and deploy scalable AI/ML and GenAI solutions to solve complex business problems. Work closely with data scientists business stak...

Job Title - AI Engineer (H1B OPT and EAD also Applicable)
Experience - 8 years
Location - New York NY / Tampa FL / Phoenix AZ
Hire Type - Fulltime (Onsite)

Must Have Technical/Functional 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

Roles & Responsibilities

Drive technical direction for agentic AI initiatives influencing architecture patterns autonomy boundaries and system design.
Design build and operate production-grade agentic AI systems used across multiple products.
Own and evolve shared agentic AI capabilities including:
Design and Develop Agent frameworks and orchestration layers
Planning tool use and memory strategies
Design Retrieval and grounding (RAG) pipelines
LLM infrastructure inference and model gateways
Evaluation observability and safety tooling for autonomous systems
Lead technical design reviews and help teams navigate tradeoffs involving autonomy safety reliability scalability and cost.
Partner across teams to deliver complex cross-cutting agentic AI initiatives from concept to production.
Evaluate emerging models techniques and agentic patterns and translate them into practical enterprise-ready improvements.