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 workflows and drive digital transformation.
Domain
Fashion retail / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Agentic AI frameworks (LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Claude Agent SDK, Google ADK), Python, TypeScript, RAG pipelines, Vector databases, LLM orchestration, Agent evaluation (RAGAS, DeepEval), Cloud infrastructure (AWS/GCP/Azure), MCP protocol, SQL
Preferred skills
Multi-agent systems in production, AgentOps platforms, Fashion/Retail industry experience, Open source contributions
Technologies
Python, TypeScript, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Claude Agent SDK, Google ADK, Mastra, Vercel AI SDK, LangGraph.js, Pinecone, ChromaDB, Weaviate, pgvector, OpenSearch, LangSmith, Langfuse, MLFlow, OpenTelemetry, FastAPI, Pydantic, Next.js, Node.js, Docker, Kubernetes
Responsibilities
Design multi-step agent architectures using patterns like Supervisor/Subagent and Plan-and-Execute; Build intelligent agents using Python/TypeScript frameworks; Implement agent memory systems using vector databases and RAG; Integrate agents with corporate tools via APIs and MCP; Orchestrate multiple LLMs optimizing for cost/latency; Build evaluation and observability pipelines; Implement security guardrails against prompt injection; Identify automation opportunities in business processes; Collaborate with stakeholders to translate business goals into code.
Seniority
Senior, hands-on IC
