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Vetted AI Engineers in Remote
Pre-screened and vetted in Remote.
Anish Babu Gogineni
Mid-level AI & Data Engineer specializing in RAG and analytics platforms
Eranda Sooriyarachchi
Mid-level AI Engineer specializing in RAG, conversational AI, and agentic systems
“Built and deployed a production RAG-based clinical decision support assistant at MedLib, focused on fast, trustworthy answers from large medical documents. Demonstrates deep practical experience improving retrieval accuracy (semantic chunking + metadata-aware search), controlling hallucinations with grounded generation and thresholds, and adding clinician-requested citations using chunk metadata, with evaluation driven by healthcare professional review.”
Pranav Govindaswamy
Junior Software Engineer specializing in Java microservices and GenAI platforms
Venkata Surya Bellamkonda
Mid-level Data Scientist / AI Research Engineer specializing in LLMs, RAG, and applied ML
Precious Nwaoha
Principal Full-Stack AI Engineer specializing in LLM-powered web and mobile products
Harshit Vashisth
Junior AI Engineer specializing in LLMs, RAG systems, and MLOps
“Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.”