Description

You will design, build, and operate production-grade agentic AI systems used across multiple products.

Responsibilities

• Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
• Own and evolve shared agentic AI capabilities, including agent frameworks, orchestration layers, planning, tool use, memory strategies, and RAG pipelines.
• Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.
• Evaluate emerging models, techniques, and agentic patterns, translating them into practical, enterprise-ready improvements.
• Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.

Required Skills

• 10+ years of experience building large-scale distributed systems.
• Strong experience with LLM systems, agentic workflows, or advanced ML infrastructure.
• Fluency with NodeJS, JavaScript, and TypeScript, alongside Python and Go.
• Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
• Proficiency with orchestration frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, or CrewAI.
• Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure (AWS and/or GCP, Kubernetes).
• Experience in workflow engines, async processing, queues, and streaming systems, including event-driven architectures like Kafka.
• Integration of commercial and open-source LLMs into agentic workflows, with experience in PyTorch, Hugging Face ecosystem, and schema validation tools like Pydantic and Zod.

Preferred Skills

• Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
• Ability to influence technical direction and align teams without formal authority.

Key Skills

Education

Any Graduate