Pre-screened and vetted in Texas.
Mid-level GenAI/ML Engineer specializing in LLM systems and RAG chatbots
“Built and shipped a production agentic LLM analytics platform that lets non-SQL business users query relational databases in plain English via a RAG + LangChain/LangGraph workflow and FastAPI service. Emphasizes safety and reliability with guardrails (validation/access control), testing/evaluation frameworks, and performance optimization (caching, monitoring, Dockerized scalable deployment), reducing dependency on data teams and speeding analytics turnaround.”
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
“Built and shipped a production RAG assistant using GPT-4, LangChain, and Pinecone/FAISS to search 50K+ institutional documents, with a strong focus on groundedness and hallucination reduction through retrieval optimization and re-ranking. Pairs this with a metrics-driven evaluation/monitoring approach (BLEU/ROUGE, manual sampling, logging) and workflow automation via Airflow, and has experience translating stakeholder needs into iterative AI prototypes.”
Mid-level Machine Learning Engineer specializing in IoT, edge AI, and enterprise ML
“Built and productionized an LLM/RAG question-answering service over technical documentation, focusing on retrieval quality (reranking + IR metrics), latency, and scaling. Experienced orchestrating end-to-end ETL/ML workflows with Airflow/Prefect/AWS Step Functions and improving reliability via parallelism, retries, and shadow testing. Also delivered an explainable healthcare risk-flagging classifier with a stakeholder-friendly dashboard for a non-technical program manager.”
Mid-Level Forward Deployed AI Engineer specializing in RAG systems and backend microservices
“LLM solutions practitioner with SOC/alert-triage experience who takes LLM prototypes to production using RAG (Pinecone), FastAPI services, guardrails, CI/CD, monitoring, and robust fallback logic. Known for rapid real-time debugging of embedding/vector and agent workflow issues, and for driving adoption through code-first workshops and sales-aligned custom demos with measurable improvements (35% faster triage; 40% increase in correct tool usage).”
Mid-level Data Scientist / ML Engineer specializing in Generative AI, RAG, and MLOps
“Built and productionized a RAG-based LLM research assistant for biomedical and regulatory document search using Mixtral 7B on SageMaker, LangChain, and Milvus, cutting research time by ~40%. Has hands-on multi-cloud MLOps experience across AWS/Azure/GCP with Kubeflow/Airflow/Composer plus Terraform + ArgoCD, and applies rigorous evaluation/monitoring (latency, accuracy, hallucinations). Also partnered with a non-technical PM to deliver an insurance policy Q&A chatbot that reduced customer response time by 30%+.”
Senior Machine Learning Engineer specializing in GenAI, LLMs, and Python backend
Junior AI/ML Research Engineer specializing in computer vision, OCR, and RAG systems
Mid-level AI & Machine Learning Engineer specializing in Generative AI, NLP & MLOps
Mid-level AI/ML Engineer specializing in NLP, GenAI, and cloud MLOps
Senior Full-Stack Software Engineer specializing in AI agents and RAG systems
Senior AI/ML Engineer specializing in healthcare LLM and conversational AI systems
Senior AI/ML Engineer specializing in Generative AI, LLMs, and document intelligence
Mid-level ML Software Engineer specializing in Generative AI and fraud detection
Mid-level AI/ML Engineer specializing in credit risk and fraud detection
Senior Software Engineer specializing in AWS backend services and ML data pipelines
Mid-level Data Science & ML Engineer specializing in NLP, recommender systems, and MLOps
Mid-level AI Engineer specializing in LLMs, RAG, and production AI microservices
Intern Machine Learning Engineer specializing in Edge AI and FinTech systems