AI Engineer

This role requires deep expertise in LLMs, Agentic AI workflows, distributed systems, backend engineering, and cloud infrastructure , along with recent hands-on experience in Node.js, We are seeking a highly experienced Principal AI Engineer / Agentic AI Architect to drive the technical direction and development of production-grade Agentic AI systems.

Request ID: 102258-1
Title: AI Engineer
Location: Phoenix, AZ
Duration: 6 Months
Salary Range: $ 45 - $48 an hour on W2 or C2C
 
Role Overview:
We are seeking a highly experienced Principal AI Engineer / Agentic AI Architect to drive the technical direction and development of production-grade Agentic AI systems. This role requires deep expertise in LLMs, Agentic AI workflows, distributed systems, backend engineering, and cloud infrastructure, along with recent hands-on experience in Node.js, JavaScript, and TypeScript.
The ideal candidate will have a strong track record of designing and delivering complex autonomous AI systems used across multiple products and teams.
Key Responsibilities

• Drive the technical direction for Agentic AI initiatives, including architecture patterns, autonomy boundaries, and system design.
• Design, build, deploy, and operate production-grade Agentic AI systems across multiple products.
• Own and evolve shared Agentic AI capabilities, including:
• Agent frameworks and orchestration layers
• Planning, tool use, and memory strategies
• Retrieval-Augmented Generation (RAG) and grounding pipelines
• LLM infrastructure, inference, and model gateways
• Evaluation, observability, guardrails, and safety tooling
• Lead technical design and architecture reviews.
• Guide engineering teams through tradeoffs involving autonomy, safety, reliability, scalability, performance, and cost.
• Partner with cross-functional engineering teams to deliver complex AI initiatives from concept through production.
• Evaluate emerging LLMs, AI techniques, and agentic architecture patterns and translate them into enterprise-ready solutions.
• Mentor senior engineers and establish engineering best practices for Agentic AI development.

 
Required Qualifications

• 10+ years of experience building large-scale distributed systems.
• Strong hands-on experience with LLM systems, Agentic AI workflows, or advanced ML infrastructure.
• Recent hands-on development experience with Node.js, JavaScript, and TypeScript.
• Proven experience owning complex Agentic AI systems spanning multiple teams or products.
• Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
• Deep understanding of the Agentic AI stack, including:
• Planning and reasoning workflows
• Tool/function calling
• Agent memory and state management
• RAG and grounding
• Agent evaluation and observability
• Experience integrating commercial and open-source LLMs into production Agentic AI workflows.
• Experience with workflow engines, asynchronous processing, queues, streaming, and event-driven architectures.
• Strong ability to operate in ambiguous technical environments and translate requirements into reliable production systems.
• Ability to influence technical direction and align multiple engineering teams.

 
Technical Skills:

• Languages: Node.js, JavaScript, TypeScript, Python, Go
• APIs & Services: REST, gRPC
• Cloud: AWS and/or GCP
• Containers/Orchestration: Kubernetes
• Distributed Systems: Kafka, event-driven architectures, queues, streaming, asynchronous processing
• Agent/Workflow Frameworks: LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, Airflow, or similar
• AI/ML: PyTorch, Hugging Face ecosystem, embeddings, LLM inference, model integration
• Schema & State Management: Pydantic (Python), Zod (TypeScript)
• Exposure to TensorFlow is beneficial.

 
Preferred Qualifications

• Experience building Agentic AI systems within FinTech or other regulated industries.
• Experience as a Founding Engineer or early technical leader for AI-driven products.
• Demonstrated success delivering complex autonomous AI systems actively used by customers.
• Contributions to open-source AI, LLM, or Agentic AI frameworks.
• Experience with LLM fine-tuning, model optimization, and inference pipelines.
• Strong judgment regarding when to leverage existing agent frameworks versus building lightweight custom orchestration solutions.

Appreciate your quick response and please feel free to reach me out for any query you may have.
 
Thanks