Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in legal tech and payments
Senior Full-Stack Developer specializing in cloud-native SaaS and AI integrations
Mid-Level Software Engineer specializing in AI platforms and cloud-native backend systems
Senior Full-Stack Engineer specializing in LLM apps and RAG-based knowledge retrieval
Senior Software Engineer specializing in Unity, multiplayer systems, and AR/VR
Mid Full-Stack Engineer specializing in web platforms, geospatial apps, and AI
Mid-level Backend Software Engineer specializing in AWS serverless and distributed systems
Mid-Level Full-Stack Software Engineer specializing in Java/Spring and AWS serverless
Director-level Lead Full-Stack Engineer specializing in scalable SaaS and AI automation
Intern Full-Stack Software Engineer specializing in web apps and defense analytics
Mid-Level Full-Stack Software Engineer specializing in cloud integrations and real-time systems
Junior Full-Stack Software Engineer specializing in AI/RAG systems
Senior Software Engineer specializing in Python backend, microservices, and cloud/DevOps
Mid-level Full-Stack Software Engineer specializing in real-time web apps and cloud backends
Mid-Level Full-Stack Software Engineer specializing in web platforms, cloud, and test automation
“Full-stack engineer with hands-on ownership of production systems, including a Kafka-based notification/alerting platform (Node.js + React) deployed on AWS with Docker/GitHub Actions, achieving ~95% email delivery reliability. Demonstrates strong operational maturity (observability, CI/CD, zero-downtime migrations) and experience shipping in ambiguous environments (SJSU project) with evolving requirements.”
Mid-level Software Engineer specializing in Generative AI and scalable backend systems
“Backend/AI engineer with production experience in legal tech: built a high-scale licensing/subscription API (FastAPI/Postgres/Stripe) and shipped a RAG-based chatbot for an eDiscovery platform. Designed a robust legal document ingestion workflow that processes thousands of documents into a searchable vector index with clear retry/escalation logic, and has demonstrated measurable Postgres performance wins (200ms to 10ms) using EXPLAIN ANALYZE and composite indexing.”