Applied AI Engineer Adobe
Overview
We seek a hands-on AI Agent Engineer to develop and maintain intelligent agents that drive automation and business impact across the enterprise. This role owns the full lifecycle of agent development from design to versioning orchestration and continuous learning. You will contribute to scaling AI strategy by engineering reusable components optimizing agent workflows and ensuring real-world performance in production environments.
What You'll Do6
- 1Build scalable Agentic AI platforms that empower developers and enhance engineering efficiency
- 2Create reusable agent templates and modular components to accelerate deployment across business units
- 3Produce AI models from prototypes to production-ready systems
- 4Develop autonomous agents and skills for tasks such as code generation and tool calling
- 5Optimize model performance reduce latency and improve reliability
- 6Implement prompt engineering strategies memory handling resource management and tool-calling integrations
Requirements8
- 13–5+ years of experience in AI/ML engineering and backend development
- 2Prior exposure to LLM APIs or AI-powered services in production
- 3Experience with AI tools like LangChain LlamaIndex or vector databases
- 4Ability to measure and improve model solve rates and accuracy
- 5Strong engineering fundamentals in Python and REST
- 6Experience with event streaming (Kafka Flink Kinesis) and data pipelines (Spark Databricks)
- 7Familiarity with production operations: Kubernetes CI/CD monitoring alerting and incident response
- 8Knowledge of cloud platforms AWS GCP Azure and containerization (Docker K8s)
Salary Insight
$114 - $215k per year
Location
Required Skills
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