Artificial Intelligence Engineer/Agentic AI & LLMs/Multi-Agent system

Role & responsibilities

Agentic AI & Multi-Agent Systems o Design and implement multi-agent architectures using LangGraph o Build stateful, tool-augmented agents capable of reasoning, planning, and execution o Develop agent orchestration patterns (planner-executor, supervisor, hierarchical agents) o Implement memory systems (short-term, long-term, contextual memory) o Enable cross-agent communication and coordination • LLM Applications & Orchestration o Build production-grade LLM applications (RAG, agents, copilots) o Integrate tools, APIs, and enterprise systems into agent workflows o Design robust prompting, routing, and guardrails o Optimize workflows for latency, cost, and quality • Platform & API Development o Develop reusable AI services, agent frameworks, and APIs o Contribute to AI platform capabilities (model routing, observability, guardrails) • Cloud Deployment & Production Systems o Deploy agent-based systems on AWS o Use Docker and Kubernetes for scalable deployments o Implement monitoring and observability (LangSmith) o Ensure systems are resilient and production-ready • Performance Optimization & Evaluation o Evaluate agent performance across reasoning quality and task completion o Improve workflows using feedback loops and tracing o Diagnose and fix failure modes in multi-step pipelines • Collaboration & Enablement o Work with product and engineering teams to build agentic workflows o Guide teams on best practices for agent design o Contribute to reusable patterns and frameworks

Preferred candidate profile