Senior AI Research Engineer

salesforce.com, inc.

Palo Alto (CA)

On-site

USD 173,000 - 260,000

Full time

14 days+
Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Salesforce in Palo Alto is seeking engineers to build agentic AI systems that blend AI with human workflows, collaborating with software engineers, product managers and solution engineers to design, implement and iterate AI-driven solutions for customers.

Candidates should have strong Python, C++/Java, ML and hands-on experience deploying ML systems on Docker and cloud platforms, plus a track record delivering production-grade software in fast-paced environments.

Qualifications

  • Strong engineering skills.
  • Deep ML knowledge with implementation track record.
  • Prioritize deep and strategic thinking.
  • Dedication, patience and resilience to build exceptional product experience.
  • Collaborative and win with teams.
  • Proactive and bias to action, comfortable in fast-paced environment.
  • Competitive coding winner (ACM-ICPC, etc).
  • Experience in agentic AI, LLM area (YC backed startup).
  • Programming & Systems: Strong Python; solid C++/Java experience.
  • Build and ship production-grade software with AI as core.
  • Design and orchestrate complex AI-agent systems.
  • Contribute to shared system context for reliable AI operations.
  • Critically evaluate code for correctness, security, performance.
  • Strong CS fundamentals; data structures, algorithms, system design.
  • Experience building production-quality systems.
  • Agentic / LLM Systems.
  • Practical experience with LLMs and agentic workflows.
  • Experience building end-to-end AI agents or AI-driven apps.
  • Familiarity with prompting, orchestration, and evaluation for LLM-based systems.
  • Machine Learning & AI: hands-on with deep learning frameworks.
  • Strong ML fundamentals.
  • Experience training, eval, and inference pipelines.
  • Infrastructure & Deployment: deploying ML systems on Docker and cloud.
  • Familiarity with distributed training/inference and perf optimization.
  • AI-first engineering approach.
  • Experience using AI tools in development workflows.
  • Advanced prompt engineering to ensure reliable, secure outputs.

Skills

Python
C++
Java
ML
LLM systems
AI systems
Docker
Cloud platforms
Distributed systems
Problem solving

Tools

Docker
AWS
GCP
Azure
Git
CI/CD

Job description

Salesforce in Palo Alto is seeking engineers to build agentic AI systems that blend AI with human workflows, collaborating with software engineers, product managers and solution engineers to design, implement and iterate AI-driven solutions for customers.

Candidates should have strong Python, C++/Java, ML and hands-on experience deploying ML systems on Docker and cloud platforms, plus a track record delivering production-grade software in fast-paced environments.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior AI Systems Architect, Research & Deployment
Senior AI Systems Architect, Research & Deployment

100 Salesforce, Inc. • Palo Alto (CA)

On-site
USD 173,000 - 260,000
Medical insurance
Dental insurance
Vision insurance
+5
Principal AI Research Engineer (Agentic Systems)
Principal AI Research Engineer (Agentic Systems)

Engg • Palo Alto (CA)

On-site
USD 150,000 - 190,000
Senior ML Engineer, Agentic AI Platforms
Senior ML Engineer, Agentic AI Platforms

RTL2 Fernsehen GmbH & Co. KG • Palo Alto (CA)

On-site
USD 148,500 - 223,900
Applied AI Research Engineer
Applied AI Research Engineer

100 Salesforce, Inc. • San Francisco (CA)

On-site
USD 197,000 - 314,000
Time off programs
Medical insurance
Dental insurance
+6
AI Research Engineer — Production ML Systems
AI Research Engineer — Production ML Systems

salesforce.com, inc. • Austin (TX)

On-site
USD 148,500 - 260,100
Medical benefits
401(k) plan
Employee stock purchasing program
Applied Research Engineer: Build Production-Ready AI Systems
Applied Research Engineer: Build Production-Ready AI Systems

salesforce.com, inc. • Palo Alto (CA)

On-site
USD 197,300 - 313,700
Medical benefits
Paid parental leave
401(k) plan
AI Research Engineer — Production ML Systems
AI Research Engineer — Production ML Systems

salesforce.com, inc. • Seattle (WA)

On-site
USD 148,500 - 260,100
Medical and dental insurance
Paid parental leave
401(k) plan
+1
Applied AI Research Engineer — Cloud ML Systems
Applied AI Research Engineer — Cloud ML Systems

Salesforce, Inc. • San Francisco (CA)

Hybrid
USD 197,300 - 313,700
Medical, dental, and vision insurance
Paid parental leave
401(k) plan
Applied Research Engineer: Build Production-Ready AI Systems
Applied Research Engineer: Build Production-Ready AI Systems

salesforce.com, inc. • New York (NY)

On-site
USD 197,300 - 313,700
Time off programs
Medical and dental benefits
401(k) plan
AI Research Engineer — Production ML Systems
AI Research Engineer — Production ML Systems

salesforce.com, inc. • Chicago (IL)

On-site
USD 148,500 - 260,100
Health insurance
401(k)
Paid parental leave
+1