AI Engineer, Agentic Systems (Quality Engineering)
Core
Build and ship custom Agentic AI applications and autonomous agent loops to automate multi-step business workflows across enterprise IT landscapes (Salesforce, SAP, custom platforms) using LLM orchestration and RAG.
Role type
Staff Software Engineer in IT Quality Engineering Automation (Agentic Systems)
Builds
Custom Agentic AI applications, agent workflows, and automated testing/quality reporting pipelines for enterprise IT systems.
Domain
Enterprise IT Quality Engineering / Agentic AI Systems
Deliverable
production ML models
Required skills
Python, TypeScript/Node.js, LLM APIs, LangGraph, ADK, LangChain, AutoGen, CrewAI, REST APIs, Vector databases (pgvector, Pinecone, Weaviate), RAG pipelines, Git, CI/CD
Preferred skills
Production agent deployment, Salesforce/SAP enterprise integration, Graph RAG, Model Context Protocol (MCP), Cloud/DevOps (GCP/AWS/Azure, Docker, Kubernetes), Test automation (Playwright, PyTest)
Technologies
LangGraph, ADK, LangChain, AutoGen, CrewAI, Salesforce, SAP, pgvector, Pinecone, Weaviate, Jira, GCP, AWS, Azure, Docker, Kubernetes
Responsibilities
Develop and maintain agent workflows with planner/executor loops; Connect agents across enterprise applications via APIs; Build context grounding and RAG pipelines; Develop evaluation suites and implement guardrails/human-in-the-loop workflows; Instrument agents with tracing and metrics.
Seniority
Staff, hands-on IC
