preethi b | GenAI Engineer (LLM Engineer)
San Francisco, CAOn-siteFull-time
About this role
Preethi B
GenAI Engineer | Generative AI | LLM/NLP | LangChain | RAG | Agentic AI
Sunnyvale, California, United States (US)
500 connections • 504 followers
About
Generative AI / LLM Engineer with 5+ years of end-to-end ownership across GenAI, NLP, and ML systems — from data and feature engineering through deployment, monitoring, and retraining at production scale. Track record of shipping RAG pipelines, agentic AI workflows (ReAct, tool-use), and rubric-driven evaluation frameworks that meaningfully improve model grounding, output reliability, and inference latency across real user-facing systems. Hands-on expertise spanning Python, LangChain/LlamaIndex, Hugging Face, embeddings + vector search (FAISS/pgvector), Kafka, Spark, and Docker/Kubernetes — with a consistent ability to turn ambiguous product goals into measurable model and business outcomes.
Total Experience: 5 years and 9 months
Experience
GenAI Engineer (LLM Engineer) - Surge AI(https://www.linkedin.com/company/surge-ai) (Current)
Jul 2025 - Present (1 year and 1 month) in Sunnyvale, CA
Department: Engineering and Technical • Level: Specialist
Surge AI is a Software Development company. Surge AI is a global data labeling platform that helps AI companies build powerful datasets. Surge AI has 200-300 employees (+150% YoY) and has annual revenue in the $1M-$10M range, founded in 2020. Headquartered in San Francisco, California, United States, with an office in New York City. Its workforce is distributed across 17 countries (including United States, Canada, United Kingdom, Australia, and Indonesia).
Machine Learning Engineer - Goldman Sachs(https://www.linkedin.com/company/goldman-sachs)
Apr 2024 - Jun 2025 (1 year and 2 months) in San Jose, CA
Department: Engineering and Technical • Level: Specialist
Goldman Sachs (GS) is a Financial Services company. The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that