Description

Key Responsibilities:

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: Design and Develop Agent frameworks and orchestration layers Planning, tool use, and memory strategies Design 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

Technical and Functional Skills  10 years of experience building large-scale distributed systems and  strong experience with LLM systems| agentic workflows or advanced ML infrastructure AI engineers with recent NodeJS Javascript Typescript 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: NodeJS Javascript Typescript|Python| Go APIs and services: REST| gRPC Cloud and infrastructure: AWS and or 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. Roles & Responsibilities  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 Essential Skills: Technical and Functional Skills  10 years of experience building large-scale distributed systems and  strong experience with LLM systems| agentic workflows or advanced ML infrastructure AI engineers with recent NodeJS Javascript Typescript 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: NodeJS Javascript Typescript|Python| Go APIs and services: REST| gRPC Cloud and infrastructure: AWS and or GCP| Kubernetes Distributed systems

Key Skills

Education

Bachelor's degree