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Vetted TypeScript Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in cloud infrastructure and database tooling
Mid-level Full-Stack Python Developer specializing in APIs, microservices, and cloud deployments
Mid-level Software Engineer specializing in AI/ML and AWS cloud platforms
Intern AI/ML Engineer specializing in generative AI and multimodal agentic systems
Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms
Mid-Level Software Engineer specializing in data infrastructure and LLM applications
Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems
Mid-level Backend Software Engineer specializing in scalable systems and healthcare workflows
Junior Software Engineer specializing in full-stack, cloud, and AI systems
Senior Full-Stack Engineer specializing in cloud-native enterprise applications and ServiceNow ITSM
Mid-level Full-Stack Developer specializing in microservices and AWS DevOps
Senior Software Engineer specializing in cloud platforms and real-time collaboration
Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems
Senior Software Engineer specializing in full-stack web platforms, SEO, and microservices
Senior Software Engineer specializing in distributed systems and agentic AI platforms
Mid-level UI Developer specializing in real-time dashboards for FinTech and Healthcare
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications
Vismay Devjee
Mid-level GenAI Engineer specializing in AI agents, RAG, and LLM evaluation
“Asset Management Risk professional at Fidelity Investments who built and productionized an agentic RAG platform enabling compliance and analysts to query 10,000+ fund documents with cited answers in seconds. Implemented structure-aware semantic chunking (AWS Textract), hierarchical retrieval, and hybrid search to raise accuracy from 68% to 94%, and built an evaluation framework tracking accuracy/latency/cost/hallucinations—delivering 40+ hours/month saved and zero critical production failures.”