Senior Member of Technical Staff - AI Research

Salesforce Salesforce · Enterprise · Palo Alto, CA +1

Salesforce is seeking a Senior Member of Technical Staff for AI Research to design, implement, and iterate on agentic AI systems. This role involves building and shipping production-grade software with AI as a core part of the development workflow, integrating AI agents into human workflows, and critically evaluating code. Experience with LLMs, agentic workflows, and deploying ML systems is required.

What you'd actually do

  1. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
  2. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
  3. Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
  4. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.

Skills

Required

  • Python
  • C++
  • Java
  • LLMs
  • agentic workflows
  • tool use
  • planning
  • memory
  • multi-step reasoning
  • prompting
  • orchestration
  • evaluation for LLM-based systems
  • deep learning frameworks
  • ML fundamentals
  • model training
  • model evaluation
  • inference pipelines
  • Docker
  • AWS
  • GCP
  • Azure
  • distributed training
  • inference
  • performance optimization
  • AI tools
  • prompt engineering

Nice to have

  • ACM-ICPC
  • YC backed startup founder

What the JD emphasized

  • exceptional engineering skills
  • deep ML knowledge with meaningful implementation track records
  • Prioritize deep and strategic thinking
  • dedication, patience and resilience to build exceptional product experience
  • Strong proficiency in Python
  • Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow
  • Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows
  • Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
  • Experience building production-quality systems
  • Practical experience with LLMs and agentic workflows (tool use, planning, memory, multi-step reasoning)
  • Experience building end-to-end AI agents or complex AI-driven applications
  • Familiarity with prompting, orchestration, and evaluation for LLM-based systems
  • Hands-on experience with deep learning frameworks
  • Strong understanding of ML fundamentals
  • Experience implementing and debugging model training, evaluation, and inference pipelines
  • Experience deploying ML systems using Docker and cloud platforms (AWS, GCP, or Azure)
  • Familiarity with distributed training or inference and performance optimization
  • A demonstrated, genuine AI-first approach to engineering.
  • Advanced prompt engineering skills

Other signals

  • AI CRM
  • agentic era
  • AI agents integrate seamlessly into human workflows
  • production-grade software using modern engineering practices, with AI as a core part of your development workflow