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
Thanks and Regards,
Grace
Technical Recruiter |ASCII Group LLC.
Email: |Direct:
38345 W. 10 Mile Rd, Ste.#365; Farmington, MI 48335