AI Engineer, Salesforce

Agent Systems

$172.5-285.8k

Actual salary range is dependent on location. The range represents base salary only, and does not include company bonus or equity as applicable

AWS

Docker

Kubernetes

GCP

Python

Salesforce

REST API

Senior and Expert level

San Francisco Bay Area

World's leading CRM provider

Open for applications

World's leading CRM provider

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Open for applications

$172.5-285.8k

Actual salary range is dependent on location. The range represents base salary only, and does not include company bonus or equity as applicable

AWS

Docker

Kubernetes

GCP

Python

Salesforce

REST API

Senior and Expert level

San Francisco Bay Area

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Company mission

To empower companies to connect with their customers in a whole new way.

Job

Company

Role

Who you are

Bachelor’s degree in Computer Science, Software Engineering, or a related field
5+ years of experience in backend or distributed systems engineering, with increasing technical ownership
Strong proficiency in Python, with experience designing complex backend services
Experience building production systems involving LLMs, AI services, or agent-like workflows
Deep understanding of RESTful APIs, service-oriented architectures, and system scalability
Experience with cloud platforms (AWS, GCP) and containerized environments (Docker, Kubernetes)
Strong debugging skills across distributed systems, including logs, traces, and metrics
Excellent communication skills and the ability to collaborate across research and engineering teams

Desirable

Hands-on experience with AI agent frameworks, workflow engines, or orchestration systems
Familiarity with RAG systems, vector databases, or memory architectures
Experience implementing safety guardrails, policy enforcement, or AI observability
Exposure to event-driven architectures and message queues (Kafka, RabbitMQ)
Prior experience in a research-adjacent or incubation environment

What the job involves

We are seeking a Lead AI Engineer, Agent Systems to join the Salesforce AI Research Incubation Team
In this role, you will design and build production-grade AI agent systems that translate cutting-edge research into scalable, reliable platform capabilities
You will work closely with AI researchers, platform engineers, and product teams to develop agent orchestration frameworks, tool integration, and runtime control systems
This role focuses on system-level intelligence, not on inventing new models, but on making AI agents robust, observable, and controllable in real-world environments
This is a lead-level individual contributor role with strong technical ownership and cross-team influence
Design and build AI agent systems, including agent lifecycle management, orchestration, and execution control
Develop scalable pipelines for tool invocation, agent planning, memory, and state management
Collaborate with AI researchers to operationalize research outputs into reliable agent behaviors
Define and enforce best practices for agent reliability, safety, observability, and cost control
Lead the design of APIs and services supporting agent runtime and coordination
Drive architectural decisions for agent frameworks and integrations across AI services
Troubleshoot complex system-level issues involving agent behavior, performance, or failure modes
Mentor engineers and provide technical leadership within the AI engineering organization

Our take

Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.

By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.

Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-8% employee growth in 12 months

Glassdoor (4.1)

Trustpilot (1.5)

Company

Funding (last 2 of 4 rounds)

Jun 2001

$46.9m

SERIES D

Nov 1999

$13.2m

SERIES C

Total funding: $64.5m

Company benefits

With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year

Company HQ

SoMa, San Francisco, CA

Leadership

Marc Benioff

(Chair & CEO)

Previously Senior Vice President at Oracle Corporation for 13 years.

Parker Harris

(CTO)

Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.

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