Software Engineering SMTS- LLM Model building
Core
Building and deploying production-grade Large Language Models (LLMs) and agentic reasoning systems for Salesforce's AI agents, serving millions of users across enterprise workflows.
Role type
Senior Applied Scientist (LLM & Agentic AI)
Builds
Production-scale AI agents, reasoning systems, and multi-modal models for customer support, sales, and internal productivity.
Domain
Enterprise AI, Large Language Models, Agentic Systems
Deliverable
production ML models
Required skills
LLM fine-tuning, Reinforcement learning, Model evaluation, Inference optimization, Distributed training, Python, PyTorch, TensorFlow, Hugging Face, DeepSpeed, Ray, Kubernetes, vLLM
Preferred skills
Enterprise AI deployment, Multi-agent systems, Tool-calling systems, AI safety frameworks, Long-context models, Retrieval-augmented generation
Technologies
PyTorch, TensorFlow, Hugging Face, DeepSpeed, FSDA, Ray, Kubernetes, vLLM, NumPy, Pandas
Responsibilities
Execute full model lifecycle from data curation to deployment; Design RLHF/RLAIF workflows; Optimize inference latency and throughput; Mentor junior scientists; Collaborate on agentic reasoning and multi-modal capabilities.
Seniority
Senior, hands-on IC with mentorship
