AI Engineer 4
About The Position
We build the agentic AI platform that Adobe teams use to get real work done — OneAI, our unified intelligence layer, along with the reusable skills, agents, and dashboards that run on top of it. You'll design and ship autonomous agents that connect to enterprise data (Databricks, Jira, Confluence, Slack, SharePoint) and turn natural-language questions into trustworthy, cited answers. This is a hands-on engineering role with room to grow. You'll own components end to end — from prototype to production — and see them adopted across business units. If you enjoy making AI systems that are genuinely reliable, well-governed, and fast, you'll fit in well here.
Requirements
- Around 3+ years building AI/ML or backend systems, including some experience running LLM-powered services in production.
- Strong fundamentals in Python and REST APIs.
- Familiarity with modern AI tooling — frameworks like LangChain or LlamaIndex, and vector databases.
- A habit of measuring quality and iterating, rather than shipping and hoping.
- Comfort working with cloud platforms (AWS, GCP, or Azure) and containers (Docker, Kubernetes).
Nice To Haves
- Experience with event streaming (Kafka, Flink, or Kinesis) and data pipelines (Spark or Databricks).
- Exposure to production operations — CI/CD, monitoring, alerting, and incident response.
- Interest in AI governance, safety, or evaluation.
Responsibilities
- Build and productionize reusable agentic components — skills, orchestration workflows, and tool-calling integrations — that plug into OneAI's intelligence layer (Neo4j + pgvector + Databricks + Claude).
- Take AI models and agents from prototype to production, and keep them healthy once they're live.
- Improve how agents reason: prompt design, memory and context management, retrieval quality, and multi-step tool use.
- Tune for latency, reliability, and cost so the platform holds up as more teams rely on it.
- Partner with product managers and data engineers to shape what we build, and share what you learn with the team.
- Help raise the bar on evaluation — measure solve rates and accuracy, and use what you find to make the agents better.
Benefits
- comprehensive benefits programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
