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Vetted LangChain Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in LLMs, RAG, and Knowledge Graphs
Mid-level AI/ML Engineer specializing in NLP, MLOps, and financial risk & fraud analytics
Mid-level AI Engineer specializing in Generative AI and LLM/RAG systems
Junior Backend Engineer specializing in cloud-native systems and observability
Senior AI/ML Engineer specializing in GenAI, MLOps, and healthcare analytics
Senior AI/ML Engineer specializing in Generative AI and Computer Vision
Mid-level Software Engineer specializing in AI, data engineering, and cloud systems
Intern AI/Backend Engineer specializing in LLM agents and cloud microservices
Mid-Level Backend Software Engineer specializing in distributed systems and observability
Junior Full-Stack/Cloud Engineer specializing in AI and data-driven applications
Senior Software Engineer specializing in Healthcare IT platforms
Mid-level AI/ML Product & Solutions Specialist specializing in GenAI and MLOps
Mid-Level Software Engineer specializing in AI systems and full-stack development
Mid-level Machine Learning Engineer specializing in LLMs, multimodal AI, and backend systems
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Adithya Rajendra
Junior Data Engineer specializing in Azure data platforms and GenAI analytics
“Data/ML practitioner with experience spanning medical imaging (retinal vessel analysis for hypertension/CVD risk prediction) and enterprise data engineering at Carl Zeiss. Built large-scale SAP data cleaning/validation pipelines (10M+ daily records, ~99% accuracy) and RAG-based semantic search with LangChain/vector DBs that cut manual querying by 82%, plus automation that reduced data onboarding from 8 hours to 12 minutes.”