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.
Role type
Staff Software Engineer in IT Quality Engineering Automation (AI Engineer)
Builds
Custom Agentic AI applications, agent workflows, and automated testing/quality reporting tools for enterprise systems.
Domain
Enterprise IT Quality Engineering, Generative AI, Agentic Systems
Deliverable
production ML models | product features
Required skills
Python, TypeScript/Node.js, REST API design, LLM orchestration, LangGraph, RAG pipelines, vector databases, Git, CI/CD
Preferred skills
Multi-agent coordination, Salesforce/SAP integration, Graph RAG, Model Context Protocol (MCP), Cloud/DevOps (GCP/AWS/Azure), Test automation frameworks
Technologies
LangGraph, ADK, LangChain, AutoGen, CrewAI, Salesforce APIs, SAP OData/BAPI, pgvector, Pinecone, Weaviate, Jira, Docker, Kubernetes
Responsibilities
Develop and maintain agent workflows with planner/executor loops; Enable cross-system integration via REST/SOAP APIs and webhooks; Build context grounding and RAG pipelines; Define tool definitions and JSON function schemas; Build evaluation suites for agent validation; Implement guardrails and human-in-the-loop workflows; Enable observability with tracing and metrics.
Seniority
Staff, hands-on IC
