Request ID: -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
Required Qualifications
Technical Skills:
Preferred Qualifications
Thanks
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.
Thanks