AGENTIC AI SENIOR EXPERT
Core
Design, build, and deploy autonomous agentic AI systems that plan complex tasks, use external tools, and solve multi-step problems with minimal human intervention to boost team productivity.
Role type
Senior IC Agentic AI Engineer
Builds
Autonomous AI agents integrated with corporate tools, APIs, and databases to automate internal workflows and drive digital transformation.
Domain
Fashion retail / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Agentic AI architecture (Supervisor/Subagent, Plan-and-Execute), Multi-agent orchestration (LangGraph, CrewAI), LLM optimization (caching, streaming), RAG pipelines, Vector databases, MCP protocols, Agent evaluation (RAGAS, DeepEval), Cloud deployment (Kubernetes, Docker), Security guardrails (prompt injection prevention)
Preferred skills
Experience in fashion/retail, AgentOps platforms, Open source contributions in GenAI
Technologies
Python, TypeScript, OpenAI Agents SDK, Claude Agent SDK, Google ADK, LangGraph.js, Mastra, Vercel AI SDK, Pinecone, ChromaDB, LangSmith, Langfuse, AWS/GCP/Azure
Responsibilities
Design multi-step agent architectures using graph-based orchestration; Build intelligent agents using Python/TypeScript frameworks; Implement agent memory systems using vector databases and RAG; Integrate agents with corporate APIs, ERPs, and CRMs; Orchestrate multiple LLMs optimizing for cost/latency/quality; Build evaluation pipelines for task completion and tool use; Implement observability, tracing, and MLOps practices; Design security guardrails against prompt injection; Identify automation opportunities in business processes; Collaborate with stakeholders to translate business goals into functional code.
Seniority
Senior, hands-on IC
