Pre-screened and vetted in California.
Mid-level Machine Learning Engineer specializing in GenAI and cloud-native ML systems
Mid-level GenAI Engineer specializing in LLM agents and production AI workflows
Mid-level QA and AI NLU Evaluator specializing in software testing and model evaluation
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Intern AI Engineer specializing in GenAI agents and backend APIs for enterprise platforms
Mid-level Machine Learning Engineer specializing in LLM chatbots and RAG systems
Senior AI Engineer & Data Scientist specializing in LLM and RAG systems
Intern AI/ML Engineer specializing in agentic LLM workflows and financial data extraction
Mid-level Machine Learning Engineer specializing in multimodal content moderation and MLOps
Intern Data Scientist specializing in model compression and agentic RAG systems
Junior Full-Stack & AI Engineer specializing in LLM agents and cloud-native systems
Junior Machine Learning Engineer specializing in LLM infrastructure and inference optimization
Mid-Level AI Engineer specializing in LLM systems, GPU optimization, and multi-agent orchestration
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and cloud deployment
Mid-Level Software Engineer specializing in ML and healthcare data systems
Mid-Level Full-Stack AI Engineer specializing in LLM integration and TypeScript tooling
Junior Machine Learning Engineer specializing in healthcare AI and GenAI RAG
Senior Full-Stack/AI Engineer specializing in mobile and web product development
“Built an end-to-end mobile + web Q&A marketplace connecting users with professionals, including real-time chat and Stripe-based monetization (products/subscriptions). Hands-on with scaling Firebase/Firestore (subcollections, composite indexing, pagination) and mobile caching/sync challenges. Also created an internal AI-driven report generator that turned chatbot outputs into curated graphs and PDFs for marketing, iterating based on stakeholder feedback.”
Mid-level GenAI Engineer specializing in RAG systems and AI agents
“LLM/agentic systems builder who has deployed production solutions for a resource management firm, using an MCP-driven architecture with Neo4j + Elasticsearch and a ChatGPT frontend to generate candidate/company “SmartPacks” and answer entity Q&A. Also built a LangGraph/LangSmith-orchestrated multi-agent workflow that automates data-infra change requests end-to-end (impact analysis, SQL + tests, and PR creation), and delivered a ~60% latency reduction through TTL-based context caching while improving accuracy via a business data dictionary.”
Director-level AI Engineering Leader specializing in LLMs, ML platforms, and cloud transformation