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Vetted AI Engineers in Texas
Pre-screened and vetted in Texas.
Senior AI Engineer specializing in NLP and large language models
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Junior AI Software Engineer specializing in LLM systems and retrieval (RAG)
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Kevin Allen
Senior AI/ML Engineer specializing in conversational and generative AI
“Built and productionized an LLM-based support assistant end-to-end, including RAG, APIs, monitoring, guardrails, and agent feedback loops. Stands out for translating GenAI prototypes into reliable production systems with structured evaluation, safety controls, and reusable Python infrastructure that improved both support quality and engineering velocity.”
Mid-level AI Engineer specializing in computer vision and RAG systems
Mid-level AI/ML Engineer specializing in LLMs, agentic systems, and MLOps
Yeshwanth Pulapa
Mid-level AI/ML Engineer specializing in Databricks, MLOps, and real-time fraud detection
“ML/LLM engineer building production, real-time fraud detection for financial transactions using a two-tier architecture (fast ML + GPT) to deliver both low-latency decisions and analyst-friendly risk explanations. Experienced orchestrating end-to-end retraining, drift monitoring, and automated model promotion with Databricks Jobs/Workflows and MLflow, and partnering closely with fraud analysts to tune alerts, thresholds, and dashboards.”
Mid-level AI Engineer specializing in Ambient AI and full-stack applications
Mid-level AI/ML Engineer specializing in Databricks, MLOps, and real-time fraud detection
Mid-level AI Engineer specializing in LLM agents, RAG, and knowledge graphs
Sai Teja Challa
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.”
Mid-level AI Data Engineer specializing in ML pipelines, NLP/LLMs, and cloud data engineering
Mid-Level Full-Stack & AI Engineer specializing in scalable cloud and GenAI systems
Senior Machine Learning Engineer specializing in LLMs and scalable AI platforms
Mid-level AI Engineer specializing in LLM agents and retrieval systems
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG
Manikanta Kadiyam
Mid-level Applied AI Engineer specializing in agentic LLM workflows
“Master’s-in-Data-Science candidate (UHV) with 4+ years in AI engineering building production LLM and multimodal systems. Designed an LLM-powered workflow automation platform using RAG over vector stores with guardrails (schema/output validation, fallbacks) and a rigorous evaluation/monitoring framework including drift tracking and shadow deployments. Experienced orchestrating large-scale vision-language pipelines with Airflow and Kubernetes (OCR, distributed training) and partnering with non-technical ops stakeholders to cut cycle time and reduce errors.”