Senior Member of Technical Staff - AI Research

Salesforce Salesforce · Enterprise · Palo Alto, CA

Salesforce is seeking a Senior Member of Technical Staff - AI Research to design, implement, and iterate on agentic AI systems. This role involves building production-grade software, orchestrating complex AI agent integrations, and contributing to shared system context. The ideal candidate will have strong Python skills, practical experience with LLMs and agentic workflows, and experience deploying ML systems on cloud platforms.

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.
  5. Practical experience with LLMs and agentic workflows (tool use, planning, memory, multi-step reasoning)

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
  • Cloud platforms (AWS, GCP, or 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
  • startup founders in agentic AI, LLM, area (e.g., YC backed startup)
  • Strong proficiency in Python
  • Build and ship high-quality, production-grade software
  • Design and orchestrate complex systems where AI agents integrate seamlessly
  • Critically evaluate code (Human or AI-generated)
  • Experience building production-quality systems
  • Practical experience with LLMs and agentic workflows
  • Experience building end-to-end AI agents or complex AI-driven applications
  • Familiarity with prompting, orchestration, and evaluation for LLM-based systems
  • Experience implementing and debugging model training, evaluation, and inference pipelines
  • Experience deploying ML systems using Docker and cloud platforms
  • A demonstrated, genuine AI-first approach to engineering.
  • Advanced prompt engineering skills

Other signals

  • building and shipping production-grade software
  • design and orchestrate complex systems where AI agents integrate seamlessly
  • building and maintaining the shared system context
  • critically evaluate code (Human or AI-generated)
  • practical experience with LLMs and agentic workflows
  • experience building end-to-end AI agents or complex AI-driven applications
  • familiarity with prompting, orchestration, and evaluation for LLM-based systems
  • experience implementing and debugging model training, evaluation, and inference pipelines
  • experience deploying ML systems using Docker and cloud platforms
  • familiarity with distributed training or inference and performance optimization
  • advanced prompt engineering skills