Description

You will design and deploy novel multi-agent systems that solve complex problems.

Responsibilities

• Design and deploy multi-agent systems implementing communication patterns, memory structures, and orchestration logic.
• Develop scalable, observable, cost-efficient production AI services using LLM technologies.
• Enable teams to compose, evaluate, and deploy intelligent agents for business impact.
• Prototype quickly and deliver maintainable, production-grade systems.

Required Skills

• 10+ years of professional experience.
• Strong proficiency in Python.
• Experience building LLM-powered agentic systems using LangChain or LangGraph.
• Understanding of context retrieval, grounding, compression, vector databases, and RAG architectures.
• Experience with cloud-native systems (AWS or GCP).
• Proficiency with containerization using Docker and Kubernetes.
• Experience quantifying stochastic performance and designing evaluation metrics.
• Solid data skills, including data enrichment, transformation, or generative AI techniques.

Key Skills

Education

Any Graduate