Jobs / Sal***
Senior Software Engineer, Agentforce Engines & Experiences
Sal*** · San Francisco, CA, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
San Francisco, CA, United States148,500-223,900 USD/yearlyRemote
Remuneration
148,500-223,900 USD/yearly
Location
San Francisco, CA, United States
Visa sponsorship
Sponsors visa
Job summary
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Sal*** Sal*** is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action.
Benefits
And resources support you to find balance and be your best , and our AI agents aTogether, we’ll bring the power of Agentforce to organizations of all sizes andApply today to not only shape the future — but to redefine what’s possible — forAccommodationsPlease note that Salesforce uses artificial intelligence (AI)Training, assessment of job performance, discipline, termination, and everythingRecruiting, hiring, and promotion decisions at Salesforce are fair and based onThe same goes for compensation,Promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such asSalesforce offers a variety ofMore details about company
Qualifications
- To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
- Agentforce is the future of AI, and you are the future of Sal***.
- The Agentforce Engines & Experiences team is at the heart of Sal***'s AI-native future.
- into scalable, production-grade systems.
- Mentorship: Elevate engineering talent across the team through hands-on code reviews, architecture guidance, and a culture of continuous learning.
- Must Haves
- BS or higher in Computer Science or a related technical field.
- 5+ years of professional software engineering experience, with a demonstrable focus on large-scale, distributed, or AI/ML-intensive backend systems.
- Deep proficiency in Java and/or Python, with production experience building and operating high-throughput services at scale.
- Proven experience designing, building, and maintaining production services on AWS or equivalent cloud platforms (GCP, Azure).
- Strong knowledge of distributed systems concepts: consistency, fault tolerance, service mesh, observability, and performance tuning.
- Experience designing and maintaining RESTful and/or gRPC APIs for mission-critical, latency-sensitive workflows.
Responsibilities
- Technical & Engineering Leadership: Champion and enforce best-in-class engineering practices across architecture reviews, code quality, scalability design, and security standards for AI platform services.
- Architecture & Strategy: Collaborate with engineering leadership and architects to define and evolve the long-term technical roadmap for Agentforce engines and experiences.
- Emerging AI Technology: Spearhead research, prototyping, and integration of AI/ML
Skills
CommunicationLeadershipSalesforce
Degrees
AssociateBachelor
Work schedule
On-call
Industry
AutomotiveEducationEnergyInsuranceSaas
Company size
Enterprise
Contract length
12 months