AI Engineer 4
Core
Design and ship autonomous agents that connect to enterprise data and turn natural-language questions into trustworthy, cited answers for Adobe teams.
Role type
Senior IC AI Engineer (Agentic Systems)
Builds
Autonomous agents, reusable skills, orchestration workflows, and tool-calling integrations for the OneAI platform.
Domain
Enterprise AI / Agentic Workflows / LLM Operations
Deliverable
production ML models
Required skills
Python, REST APIs, LLM-powered services, LangChain or LlamaIndex, vector databases, cloud platforms (AWS/GCP/Azure), containers (Docker/Kubernetes)
Preferred skills
Event streaming (Kafka/Flink/Kinesis), data pipelines (Spark/Databricks), CI/CD, monitoring, alerting, incident response, AI governance
Technologies
Neo4j, pgvector, Databricks, Claude, Kafka, Flink, Kinesis, Spark, Docker, Kubernetes, AWS, GCP, Azure
Responsibilities
Build and productionize reusable agentic components; take AI models and agents from prototype to production; improve agent reasoning (prompt design, memory, retrieval); tune for latency, reliability, and cost; partner with product managers and data engineers; measure solve rates and accuracy to improve agents.
Seniority
Senior, hands-on IC
