Principal AI & Data Engineer for Production Systems

100 Salesforce, Inc.; San Francisco (CA); On-site; USD 97,000 - 314,000; Full time

Job summary

Salesforce is seeking a senior software engineer to own the design and hands-on implementation of the agentic AI foundation for database engineering and operations, including full‑stack, full‑life‑cycle development and workflow automation.

You will build knowledge graphs and memory, enable production-grade evaluation, and drive integration across platform, identity, and data services, collaborating with database teams to scale agentic workflows and ensure reliability at scale.

Qualifications

• Hands-on experience building and shipping full-stack, full-lifecycle AI systems.
• Proficient in Python and Java in Unix/Linux environments.
• Judgment about making agents reliable at scale: grounding, evaluation, and guardrails.

Responsibilities

• Own the design and hands-on implementation of the agentic AI foundation for database engineering and operations.
• Build the agentic memory and knowledge graphs that encode schema, runbooks, and templates.
• Develop closed-loop evaluation infrastructure with tracing, replay, and regression testing.
• Advance production agent capabilities from workflow‑shaped to agent‑shaped planning and tooling.
• Support production deployment across platform, identity, and integration layers.
• Create guardrails and telemetry to keep agents grounded and reliable.
• Collaborate with database teams to standardize patterns and improve quality gates.

Skills

Python

Java

Unix/Linux

Distributed systems

LLM orchestration

MLflow

Airflow

Trino

Knowledge graphs

Root-cause analysis

Tools

MLflow

Airflow

Trino

Job description

Salesforce is seeking a senior software engineer to own the design and hands-on implementation of the agentic AI foundation for database engineering and operations, including full‑stack, full‑life‑cycle development and workflow automation.

You will build knowledge graphs and memory, enable production-grade evaluation, and drive integration across platform, identity, and data services, collaborating with database teams to scale agentic workflows and ensure reliability at scale.