Salesforce Senior Machine Learning Engineer AI Research 

United States, California, Palo Alto 

823453155

Job Category

Software Engineering

Job Details

Agentic AI System Backend/Frontend Development:

• agentic system infrastructure and components, including planning and reasoning engines, tool use, computer use and code execution environments, memory architecture, multi-agent orchestration layer, human-agent interaction, etc.

• Design, implement, and tune robust APIs and API framework-related features.

• Create visualization interfaces for system demonstration and rapid development iteration.

AI Model Development, Evaluation and Deployment:

• Finetune AI model for agentic use case.

• Develop metrics and tools to evaluate model performance, reliability, and trust.

• Deploy LLM models into production systems, ensuring scalability, security, and efficiency.

Technical Skills:

• Strong expertise in LLMs/MLMs (e.g., GPT, Gemini, Claude, Llama, Mistral, Qwen, Deepseek, etc.) and prompt engineering techniques.

• High proficiency in Python programming language. Experience in Java is a plus.

Preferred Qualifications

• Experience in developing complex agentic systems using LLMs.

• Experience in REST-based API development, API lifecycle management and/or client SDKs development.

• Experience in frontend development for system demonstration, such as using tools like Streamlit, Chainlit, etc.

• Experience with large-scale reinforcement learning techniques.

• Proficiency in popular Deep Learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).

• Prior experience in building AI solutions for enterprise software or SaaS platforms.

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