Pre-screened and vetted in the DFW Metroplex.
Senior Machine Learning Engineer specializing in agentic systems, RAG, and edge AI
Senior Generative AI Engineer specializing in LLM applications and cloud-native AI platforms
Mid-level AI/ML Data Scientist specializing in financial and healthcare machine learning
Mid-level Generative AI Engineer specializing in LLM applications and RAG
Mid-level AI/ML Data Scientist specializing in financial and healthcare machine learning
Mid-level Generative AI Engineer specializing in LLM agents, RAG systems, and workflow automation
Senior AI Engineer specializing in credit risk modeling and cloud ML platforms
Mid-level AI Engineer specializing in LLM agents, RAG, and production automation
Mid-level AI Engineer specializing in LLM agents, RAG, and MLOps for financial services
Mid-level AI Engineer & Data Scientist specializing in Generative AI, NLP, and Cloud ML
Mid-level AI/ML Engineer specializing in Generative AI and FinTech
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and NLP
“Backend engineer who built and migrated a large-scale document intelligence platform used by legal, healthcare, and insurance clients, processing millions of pages. Experienced moving from a monolithic, LLM-heavy approach to a modular FastAPI service architecture with ML classification + RAG, strong validation/auditability, and enterprise security (JWT/OAuth, RBAC, PostgreSQL RLS) with zero-downtime incremental rollouts.”
Mid-level GenAI Engineer specializing in AI agents and RAG systems
“Built and deployed a production LLM-based RAG agent platform adopted by multiple business teams (Marketing, GTM, Recruiting, Customer Support) to automate knowledge search, Q&A, and content generation. Emphasizes production-grade reliability (grounding/validation/guardrails), rigorous evaluation/monitoring, and cost-aware scaling via model tiering, prompt/retrieval optimization, and caching using LangChain/LangGraph orchestration.”
Mid-level AI/ML Engineer specializing in NLP and conversational AI
“ML/NLP engineer focused on real-time IT ops analytics, building a predictive maintenance/anomaly detection platform end-to-end (multi-source ETL, streaming, modeling, and production deployment on GCP/Vertex AI). Uses deep learning (LSTMs, autoencoders/VAEs) plus embeddings (SentenceBERT) and vector search to improve incident correlation and search, citing ~40% reduction in duplicate alert noise.”
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and RAG
Mid-level Data Analyst and AI Engineer specializing in NLP, RAG, and BI analytics
Junior Generative AI Engineer specializing in LLM agents, RAG, and multimodal AI
Principal AI/ML Engineer specializing in credit risk and healthcare predictive modeling
Mid-level AI/ML Data Engineer specializing in cloud data platforms and Generative AI
Senior AI/Robotics Engineer specializing in GenAI, LLM serving, and computer vision
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable inference
Mid-level AI/ML Engineer specializing in computer vision and MLOps
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and real-time data pipelines