Senior AI Engineer, Salesforce
Backend, AI Research Team
$172-236.5k
Office located in Palo Alto, CA
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
$172-236.5k
Office located in Palo Alto, CA
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- The ideal candidate has strong experience in Python and is comfortable working with Java, Node.js, CI/CD pipelines, and cloud platforms (AWS, GCP)
- 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
Desirable
- 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
What the job involves
- We are seeking a Senior AI 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
- You will play a key role in deploying AI-driven solutions at scale while maintaining high performance, security, and reliability
- 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
Share this job
View 260 more jobs at Salesforce
Insights
-8% employee growth in 12 months
Company
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
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