Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native and AI-powered platforms
“Fullstack engineer with a strong serverless/AWS and applied AI profile, having built document-upload-to-RAG chatbot systems using Bedrock/Titan as well as a production fintech reporting platform. Particularly compelling for teams needing a zero-to-one builder who can own architecture, frontend, backend, and user-informed product delivery; one recent product reached 100+ student users within 48 hours of launch.”
Mid-level Full-Stack Engineer specializing in AI/RAG and scalable web platforms
“Frontend-focused React/TypeScript candidate who has built production features for an event management platform and a map-based drone request workflow. Stands out for practical performance work on image-heavy galleries, TanStack Query-based data handling, and Google Maps integrations with debounced search and async loading safeguards.”
Senior Full-Stack Developer specializing in Ruby on Rails web applications
Junior Full-Stack Web Developer specializing in React/Next.js and Node.js
Mid-level Full-Stack Developer specializing in MERN, AWS, and scalable web platforms
Mid-level Python Developer specializing in cloud-native APIs and microservices
Junior Full-Stack Software Engineer specializing in Python, React, and AWS
Mid-Level Software Engineer specializing in Java/Spring Boot microservices and cloud platforms
Mid-level Backend/Agentic AI Engineer specializing in GenAI automation and RAG systems
“Built and shipped a production AI-driven privacy automation system that autonomously navigates data broker sites to submit opt-out/data deletion requests end-to-end, including robust CAPTCHA detection/solving (e.g., reCAPTCHA/hCaptcha/Cloudflare) via 2Captcha. Experienced in orchestrating stateful LLM agent workflows with LangGraph and hardening them for production with strict state management, retries/fallbacks, validation layers, and database-backed observability/audit logs, collaborating closely with legal/compliance stakeholders.”
“Backend/infrastructure engineer in the EBS org focused on global server lifecycle and fleet reliability. Led a major modernization from manual, ticket-driven recovery to centralized Python services and operator tooling with DynamoDB-backed state, strong auth/allowlisting, and CloudWatch monitoring, plus an AWS Glue/S3/SNS data pipeline to join server and hardware datasets for global operational querying and automated recovery.”