AI Engineer
Job Description
Job Description:
AI Engineer – Agentic AI, Node Js
Role Descriptions:
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 GCP| 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.
Essential Skills: 10 years of experience building large-scale distributed
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