Pre-screened and vetted in the Bay Area.
Entry AI Application Engineer specializing in GPU infrastructure benchmarking
Mid-level NLP Engineer specializing in LLMs, RAG, and applied computational linguistics
Senior Data Scientist / AI & ML Engineer specializing in agentic AI and generative AI
Mid-level Full-Stack Software Engineer specializing in ML platforms and observability
Mid-level Machine Learning Engineer specializing in LLM training and FinTech ML systems
Staff AI/MLOps Engineer specializing in cloud-native LLM and document intelligence platforms
Mid-level AI/ML Engineer specializing in MLOps, real-time data platforms, and generative AI
Mid-level AI/ML Engineer specializing in NLP, RAG, and cloud MLOps
Staff AI/MLOps Engineer specializing in cloud-native LLM and document intelligence platforms
Senior AI Sales & Client Success Leader specializing in Generative AI and Gaming
Mid-level Machine Learning Engineer specializing in GenAI and end-to-end ML systems
Intern Machine Learning Engineer specializing in LLM agents and full-stack systems
Senior Software Engineer specializing in backend systems and LLM-powered products
Senior Machine Learning Engineer specializing in Generative AI RAG systems
Mid-level Generative AI Engineer specializing in LLM orchestration, RAG, and agentic workflows
Mid-level AI/ML Engineer specializing in LLM systems and cloud MLOps
“Built a production LLM-powered fraud detection platform at Wells Fargo, combining OpenAI/Hugging Face models with RAG-based explanations to make flagged transactions interpretable for risk and compliance teams. Delivered low-latency, real-time inference at high scale on AWS (SageMaker + EKS), with strong observability and security controls, reducing manual reviews and false positives in a regulated environment.”
Senior AI Engineer specializing in production GenAI systems
“AI engineer who has shipped production LLM systems end-to-end, including a natural-language-to-SQL analytics copilot for career advisors that achieved ~95% query success through schema grounding, access controls, and automated regression testing with golden queries. Also builds LangGraph-orchestrated multi-step agents (resume analysis, recommendations) and RAG pipelines (PDF ingestion + FAISS) and partners closely with non-technical users to drive adoption and trust.”
Mid-level Data & AI Engineer specializing in data engineering, analytics, and LLM/RAG apps
“Built a production RAG-based “unified assistant” that consolidates siloed company documents into a single chatbot while enforcing fine-grained access control via RBAC/metadata filtering with OAuth2/JWT. Experienced orchestrating LLM workflows with LangChain/LangGraph + FastAPI (async + caching) and measuring performance via retrieval accuracy and response-time SLAs. Also delivered a churn analytics solution with dashboards and automated retention campaigns using n8n.”