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Vetted Prompt Engineering Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in cloud-native backend and LLM applications
Senior Full-Stack Software Engineer specializing in Python/Django, React, and AWS
Senior Software Developer specializing in LLM prompt engineering and RAG systems
Junior AI/ML Engineer specializing in Generative AI production systems
Mid-level AI Engineer specializing in LLM safety, red teaming, and evaluation
Mid-Level Full-Stack Software Engineer specializing in GenAI and cloud-native systems
Mid-level Full-Stack Developer specializing in scalable web apps and cloud-native APIs
Mid-Level Software Developer specializing in AI/ML and cloud-native microservices
Junior Full-Stack AI Developer specializing in multi-agent LLM systems on AWS
Intern AI/ML Engineer specializing in NLP, graph analytics, and agentic RAG systems
Junior AI/ML Engineer specializing in LLM applications, RAG, and multimodal computer vision
Mid-Level Software Engineer specializing in ML and Generative AI applications
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level AI/ML Engineer specializing in risk modeling, healthcare analytics, and MLOps
Senior Creative Technologist specializing in scalable video automation and MarTech
Rukmini Pisipati
Junior AI/ML Engineer specializing in LLM automation and NLP
“Built and shipped a production LLM hallucination detection and monitoring pipeline using semantic-level entropy (embedding-clustered multi-generation variance) to flag unreliable outputs in downstream automation. Implemented a scalable async architecture (FastAPI + Docker + Redis/Celery) with strong observability (structured logs + PostgreSQL) and developed evaluation loops combining controlled prompts and human review; also partnered with non-technical stakeholders on AI-driven form validation/document processing.”