Applied AI Engineer

Adobe•San Jose, CA

19h

About The Position

We are looking for a hands-on AI Agent Engineer to develop, build, and maintain intelligent agents that drive automation and business impact across the enterprise. This role is responsible for the full lifecycle of agent development — from design to versioning, orchestration, and continuous learning. You’ll contribute directly to scaling our AI strategy by engineering reusable components, optimizing agent workflows, and ensuring real-world performance in production environments. A core aspect of this role involves building scalable Agentic AI platforms that empower developers, significantly enhance engineering efficiency, and accelerate AI adoption across the organization.

Requirements

3–5+ years of experience in AI/ML engineering and backend development
Prior exposure to LLM APIs or AI-powered services in production
Experience with AI tools like LangChain, LlamaIndex, or vector databases.
Ability to measure and improve model solve rates and accuracy.
Strong engineering fundamentals (Python, REST)
Experience with event streaming (Kafka, Flink, Kinesis, or similar) and data pipelines (Spark, Databricks, or comparable).
Familiarity with production operations: Kubernetes, CI/CD, monitoring, alerting, and incident response.
Familiarity with cloud platforms (AWS/GCP/Azure), REST APIs, Python, and containerization (Docker, K8s)

Responsibilities

Create reusable agent templates and modular components to accelerate deployment across business units
Productionize AI models from prototypes to production-ready systems.
Develop autonomous agents and skills for tasks like code generation and tool calling.
Optimize model performance, reduce latency, and improve reliability.
Implement prompt engineering strategies, memory handling, resource management and tool-calling integrations.