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Vetted Vector Search Professionals
Pre-screened and vetted.
Mid-level Generative AI Engineer specializing in RAG, LLMOps, and enterprise decision intelligence
Mid-level Data Scientist / ML Engineer specializing in Generative AI and MLOps
Mid-level Backend/Data Engineer specializing in cloud APIs and data pipelines
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and agentic systems
Senior Full-Stack/Platform Engineer specializing in cloud, Kubernetes, and AI automation
Mid-level Software Engineer specializing in cloud-native distributed systems and backend platforms
Mid-level Data Scientist specializing in AI/ML and Generative AI
Mid-Level Full-Stack Engineer specializing in web platforms and FinTech support experiences
Mid-level AI Engineer specializing in LLM agents, RAG, and production automation
Mid-level Data Engineer specializing in AI/ML data pipelines and lakehouse platforms
Intern AI/ML Engineer specializing in GenAI, RAG, and knowledge graphs
Mid-level Full-Stack Engineer specializing in AI, LLM/RAG platforms, and data systems
Senior Backend Software Engineer specializing in Python, cloud microservices, and FinTech
Senior Software Engineer specializing in cloud-native SaaS, IoT, and GenAI platforms
Junior Full-Stack Software Engineer specializing in cloud-native e-commerce and AI search
Mid-level Data Scientist specializing in LLMs and NLP for financial analytics
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and computer vision
Junior Full-Stack & ML Engineer specializing in AI products and real-time systems
vedavathi thumula
Mid-level GenAI/ML Engineer specializing in agentic AI and RAG systems
“Backend/platform engineer who has owned a Python/FastAPI results API and deployed it on Kubernetes with Helm and GitHub Actions-driven CI/CD. Demonstrates strong production operations mindset across performance tuning, monitoring, safe rollouts/rollbacks, and phased migrations, plus hands-on Kafka streaming experience focused on ordering and idempotency.”
Ruudra Patel
Junior Data Scientist specializing in ML, LLMs, and RAG applications
“University hackathon finalist (2nd place) who built CareerSpark, a production-style multi-agent career guidance app in 24 hours using a hierarchical debate architecture with a moderator/judge agent. Has startup internship experience at LiveSpheres AI using LangChain for multi-LLM orchestration, and demonstrates a structured approach to testing/evaluation (golden sets, integration sims, latency/accuracy KPIs) plus strong non-technical stakeholder communication.”