Pre-screened and vetted in the Austin Metro.
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Principal Machine Learning Scientist specializing in GenAI, LLMs, and RAG
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG
Junior AI Software Engineer specializing in LLM systems and retrieval (RAG)
Intern Machine Vision & Robotics Engineer specializing in computer vision and reinforcement learning
Senior AI Engineer specializing in LLMs, RAG, and multimodal NLP
“Built a production LLM/RAG assistant for insurance/health claims agents that ingests 100–200 page patient PDFs via OCR (migrated from local Tesseract to Azure Document Intelligence) and delivers grounded claim detail retrieval plus summaries with PII/PHI guardrails. Experienced orchestrating large workflows with Celery worker pipelines and AWS Step Functions (S3-triggered, Fargate-based batch inference/accuracy aggregation), and collaborates closely with non-technical SMEs (claims agents/nurses) through shadowing, iterative demos, and SME-defined evaluation.”
Senior Python AI/ML Engineer specializing in MLOps, data engineering, and LLM applications
Senior AI/ML Engineer specializing in production AI systems for healthcare and finance
Mid-level AI Engineer specializing in Ambient AI and full-stack applications
Mid-level AI/ML Engineer specializing in recommender systems, MLOps, and Generative AI
Senior Staff Data Scientist specializing in AI/ML and LLM-powered analytics
Junior Full-Stack Software Engineer specializing in ML, cloud infrastructure, and LLM agents
Senior AI Architect specializing in LLMs, RAG, and agentic systems
Mid-Level AI Engineer specializing in NLP, computer vision, and LLM applications
“LLM/RAG practitioner who productionized an LLM-driven customer communication and transaction understanding system at PayPal, emphasizing privacy/compliance guardrails and large-scale data normalization. Experienced in real-time debugging of hallucinations via retrieval pipeline tuning and in leading hands-on developer workshops and sales-aligned POCs to drive adoption.”
Staff Data Scientist specializing in AI/ML engineering and MLOps
“ML/NLP engineer with experience at Flatiron Health building a production NLP platform that processed millions of clinical notes, using BERT/BiLSTM-CRF and spaCy to extract and normalize entities from noisy EMR text with oncologist-in-the-loop validation. Also built scalable retail ML workflows (Spark + Kubernetes + feature store caching) and applied vector databases plus contrastive-learning fine-tuning to improve retrieval relevance and recommendations.”
Mid-level AI Engineer specializing in LLM agents and automation
Senior Machine Learning Engineer specializing in LLMs and scalable AI platforms
Mid-level Generative AI Developer specializing in LLM apps and RAG for FinTech and payments