Agentic AI Engineer (W2)

Hi,

Only w2 

The following requirement is open with our client.

Title                                      : Agentic AI Engineer (W2)

Location                              : Phoenix, AZ(Onsite)

Duration                              : 12+ Months 

Relevant Experience (in Yrs.): 7+

Rate:                                       $48/hr on W2

Job Description:

• 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: · Agent frameworks and orchestration layers · Planning, tool use, and memory strategies · 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. · Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.
• 10 years of experience building large-scale distributed systems  strong experience with LLM systems| agentic workflows or advanced ML infrastructure  AI engineers with recent NodeJSJavascriptTypescript experience  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.  Comfort operating in ambiguous problem spaces and translating them into shipped| reliable autonomous systems.  Ability to influence technical direction and align teams without formal authority.  Experience in workflow engines| async processing| queues| and streaming systems.  Languages NodeJSJavascriptTypescript|Python| Go  APIs and services REST| gRPC  Cloud and infrastructure AWS andor Google Cloud Platform| Kubernetes  Distributed systems event-driven architectures| including Kafka  Orchestration Frameworks LangGraph| LangChain| AirFlow| etc  Integration of commercial and open-source LLMs into agentic workflows Agent and orchestration frameworks such as LangChain| LlamaIndex| Semantic Kernel| or CrewAI| with strong judgment about when to use frameworks versus building lighter-weight primitives  Model-level work using PyTorch and the Hugging Face ecosystem (embeddings| fine-tuning| inference tooling)| with some exposure to TensorFlow  Strong schema| validation| and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)  Experience building agentic systems in fintech or other regulated industries.  Experience as a founding engineer or early technical leader in AI-driven products. 
• Demonstrated success delivering technically complex autonomous systems that customers actively rely on.  Meaningful contributions to open-source AI or agentic frameworks.  Familiarity with fine-tuning| model optimization and inference pipelines is a plus.

Must-Have Skills:

• AgenticAI
• DistributedSystems
• NodeJS
• RAG
• Kubernetes

Grace

Technical Recruiter |ASCII Group LLC. 

Email:  |Direct:

38345 W. 10 Mile Rd, Ste.#365; Farmington, MI 48335