Salesforce AI Software Engineer Backend - Research Team 

United States, California, Palo Alto 

276598104

We are seeking a AI Software Engineer (Backend) to join the Salesforce AI Research Incubation Team. In this role, you will work closely with AI researchers to design, develop, and deploy REST API services that interface with cutting-edge AI models. You will also contribute to building robust agent pipelines, ensuring seamless integration between AI services and products.

The ideal candidate has strong experience in Python and is comfortable working with Java, Node.js, CI/CD pipelines, and cloud platforms (AWS, GCP). You will play a key role in deploying AI-driven solutions at scale while maintaining high performance, security, and reliability.

Key Responsibilities

• Design, develop, and maintain REST API services for AI model inference and data processing.

• Collaborate with AI researchers to implement scalable backend solutions for AI-driven applications.

• Build and optimize agent pipelines for automated workflows and AI task orchestration.

• Ensure seamless integration with cloud services (AWS, GCP) and optimize performance.

• Works with DevOps to maintain and use CI/CD pipelines for efficient deployment and testing of AI services.

• Implement best practices for scalability, security, and monitoring of backend services.

• Troubleshoot and resolve performance bottlenecks, ensuring high availability and reliability.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

• 3+ years of experience in backend development, with a strong focus on Python.

• Proficiency in building RESTful APIs and backend service technologies (Fastapi/Flask OAuth/JWT etc.).

• Experience with cloud platforms (AWS, GCP).

• Knowledge of dev tools: Git, CI/CD tools and processes for automated testing and deployment.

• Experience with database design and optimization (SQL, NoSQL).

• Familiarity with containerization and orchestration tools (Docker, Kubernetes).

• Strong debugging, problem-solving, and performance optimization skills.

• Excellent communication and collaboration abilities.

Preferred Qualifications

• Experience with AI/ML model deployment and inference optimization.

• Working knowledge of Java and Node.js for backend development is a plus.

• Understanding of event-driven architecture and message queues (Kafka, RabbitMQ).

• Contributions to open-source projects or relevant backend engineering portfolios.