AI/ML Engineer

Title: AI/ML Engineer Job Type: Direct Hire Pay Range: $300,000–$350,000 Total Compensation (Salary, Bonus, Stocks, RSUs) + benefits Start Date: ASAP Location: Hybrid - 3 days onsite in San Francisco, CA About the Opportunity Our client, a leader in SaaS and AI-powered intelligence, is looking for a skilled AI/ML Engineer to join their team. This project involves launching a greenfield AI initiative to completely rebuild their enterprise sales and talent intelligence platform from the ground up with an AI-first architecture and no legacy constraints. This is a high-impact role in a 0-to-1 product environment that requires a self-motivated professional who can hit the ground running and deliver results quickly. Key Responsibilities & Deliverables Build and deploy end-to-end LLM pipelines and AI features into production. Design and optimize RAG architectures using vector databases such as Pinecone, FAISS, and Weaviate at scale. Develop agentic systems using frameworks like LangGraph, LlamaIndex, or similar, including tool use, multi-agent coordination, and reasoning loops. Own prompt engineering, model versioning, evaluation (e.g., RAGAS, DeepEval), and LLMOps instrumentation. Integrate AI capabilities into large-scale data pipelines while ensuring observability and production guardrails. Collaborate with leadership and an engineering team across global locations. Required Skills & Experience 3–5 years of AI/ML engineering experience, including at least 2 years building LLM-powered systems in production. BS or MS in Computer Science, Machine Learning, or a related field. Deep expertise in Python, with experience in PyTorch or Hugging Face Transformers. Experience shipping LLM-powered applications (RAG, fine-tuning, agents) to production. Familiarity with tools like LangChain/LlamaIndex, vector DBs, and cloud infrastructure. Experience with cloud platforms such as AWS or GCP, and containerization tools like Docker and Kubernetes. A track record of building in startup or high-ambiguity environments. Demonstrated portfolio of shipped AI solutions, including agentic pipelines, RAG systems, or fine-tuned models. Strong communication skills to provide clear and concise status updates to the project team. #J-18808-Ljbffr