Pre-screened and vetted.
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Intern AI/ML Engineer specializing in LLM agents, RAG, and low-latency systems
Senior Full-Stack AI Engineer specializing in cloud-native and enterprise AI systems
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Senior AI/ML Engineer & Data Scientist specializing in NLP, entity resolution, and knowledge graphs
Mid-level Machine Learning Engineer specializing in LLM personalization and scalable MLOps
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
Senior Software Engineer specializing in AI/ML, search, and scalable cloud platforms
Mid AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Senior Machine Learning Scientist specializing in LLMs, RAG, and health AI
Executive AI strategy and product leader specializing in industrial AI and frontier technologies
“25+ year professional exploring entrepreneurship; previously helped develop corporate venture capital at Siemens and AVEVA and ran end-to-end diligence through deal close, with heavy technical diligence on pre-seed/pre-revenue companies. Interested in building an AI-enabled hard lending/origination approach to reduce decision-to-close time and scale in a large lending market, and prefers VC studio/EIR models with paid roles rather than equity-only arrangements.”
Executive technology leader specializing in search, ads, and data/AI platforms
“Engineering/technology leader with payments (UPI) scale experience who built fraud and growth systems for tens of millions of daily transactions while keeping CAC and cost guardrails. Scaled an engineering org from 12 to 155 in a year using platform + pod structures, and institutionalized canary deployments with auto-rollback (cutting degradations ~75%) while leveraging GenAI for code and test automation.”
Mid AI/ML Engineer specializing in LLM and enterprise generative AI
“ML/AI engineer focused on taking LLM systems from experimentation to reliable production, including enterprise copilot and RAG-based knowledge retrieval use cases. Stands out for combining data pipelines, model training, inference optimization, automated evaluation, and safety guardrails, with cited impact including 20% throughput gains and 30% less manual evaluation effort.”
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Senior Software Engineer specializing in ML, search, and AI-powered backend systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and distributed MLOps