Pre-screened and vetted in Texas.
Senior Machine Learning Engineer specializing in LLMs and scalable AI platforms
Mid-level AI/ML Engineer specializing in financial and enterprise machine learning
Senior AI/ML Engineer specializing in LLMs, Generative AI, and conversational systems
Mid-level AI/ML Engineer specializing in Generative AI and LLM applications
Junior Machine Learning & Embedded Software Engineer specializing in signal processing and Linux
Senior Generative AI Engineer and Data Scientist specializing in enterprise ML and RAG systems
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
Mid-level AI Engineer specializing in LLM agents and retrieval systems
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and multi-agent systems
Mid-level Generative AI Developer specializing in LLM apps and RAG for FinTech and payments
Mid-level Generative AI & NLP Engineer specializing in LLM and RAG applications
Senior AI/ML Engineer specializing in Generative AI and conversational AI
Mid-level AI/ML Engineer specializing in healthcare and financial risk systems
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic AI
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and healthcare-fintech AI
“Built and owned a production GPT-4 RAG assistant for clinical and enterprise query resolution, taking it from initial experiment to deployment, monitoring, and iterative improvement. Their work cut resolution time from 45 minutes to under 2 minutes, achieved roughly 95% accuracy, and scaled to thousands of additional monthly queries while emphasizing safety and trust in a sensitive clinical domain.”
Staff Machine Learning Engineer specializing in NLP, LLMs, and document intelligence
“ML/AI engineer at PNC who has shipped enterprise-grade RAG and document intelligence systems for compliance and policy workflows. Stands out for combining LLM product thinking with production rigor—owning FastAPI/Kubernetes deployments, monitoring, evaluation, and human-feedback loops that drove measurable gains like 40% faster policy search and 30% faster compliance review.”
Mid-level Generative AI Engineer specializing in LLMs and enterprise AI
“Built and owned an enterprise LLM/RAG document intelligence platform for PNC Financial Services in a compliance-heavy environment, focused on grounded answers over internal finance and policy documents. Stands out for combining GenAI product delivery with production engineering discipline, delivering 60% faster document review and materially better answer quality while creating reusable FastAPI-based AI services for multiple teams.”
Mid-level Machine Learning Engineer specializing in LLM-powered products
“Verizon engineer who productionized an LLM-based personalization capability for a customer-facing digital platform, owning the path from success metrics through scalable APIs, A/B validation, and post-launch monitoring (latency/accuracy/drift). Experienced in diagnosing and fixing real-time LLM/RAG workflow issues under peak load, and in enabling adoption via tailored technical demos/workshops and sales support materials.”