Pre-screened and vetted.
Mid-level Full-Stack Engineer specializing in cloud microservices and REST APIs
“Backend engineer building an AI-powered social media platform on AWS, with hands-on experience shipping LLM-backed application features and improving production performance under high traffic. Strong focus on reliability/observability (CloudWatch, structured logs, health checks) and database optimization (MongoDB explain/slow logs, indexing, caching, connection pooling).”
Senior Software Engineer & Tech Lead specializing in real-time simulation, VR, and networking
“Unity/C# tech lead who shipped a VR co-op shooter (ChronoStrike) with a network-synchronized time-dilation mechanic, extending Photon Fusion prediction/reconciliation to handle variable timescales and reporting major stability/performance gains (90 FPS Quest 2; rubber-banding reduced from ~15% of sessions to zero). Also integrated GPT-3.5-powered NPC dialogue with scripted fallbacks for a Transport Canada training simulator, and built a cross-platform VR+mobile neurofeedback app integrating NeuroSky EEG via native iOS/Android plugins.”
Entry-level Software Engineer specializing in AI/ML and full-stack systems
“Internship-built full-stack systems spanning HR employee-record portals and internal data-quality dashboards (Flask + SQL + React), emphasizing data integrity and rapid MVP iteration. Also implemented Flask microservices with RabbitMQ for distributed task processing, addressing duplication/ordering issues with idempotency, durable queues, and correlation-ID logging; delivered quantified productivity gains for HR teams.”
Junior Software Engineer specializing in backend and cloud systems
“Full-stack engineer with hands-on experience spanning analytics products and fintech infrastructure. Built a YouTube Data Aggregator end-to-end in 2025 with ingestion, dashboards, and predictive modeling, and also shipped Stripe webhook/payment systems at FinPay supporting $5M+ in transactions with 99.9% uptime.”
Junior AI Software Engineer specializing in full-stack LLM applications
“Early-stage product engineer who built an AI persona chat system end to end at Super Intro, spanning Next.js frontend, GraphQL/real-time backend, retrieval memory, and LLM-based matching. They combine strong TypeScript rigor with practical AI systems design, and cite measurable impact including ~40% engagement growth, ~30% recall improvement, and lower LLM costs in production.”
Mid Backend Engineer specializing in scalable APIs and cloud microservices
“Backend-heavy full-stack engineer who owned a high-volume booking/rescheduling system at CodeHaste, using NestJS, PostgreSQL, and advanced TypeScript patterns to eliminate double-booking issues at 10k+ daily transactions. Also co-founded KingpiN Vision Forge, where they turn ambiguous client asks into concrete web strategy and design, and has adjacent AI infrastructure experience integrating NVIDIA NIM APIs and debugging streaming issues.”
Junior Software Engineer specializing in distributed systems and AI platforms
“Built ContextIQ, an end-to-end full-stack RAG document assistant using Next.js, TypeScript, OpenAI embeddings, Supabase/pgvector, and streaming responses to create a real-time research experience. Also built DevWatch, a GitHub analytics and QA dashboard with Java Spring Boot and PostgreSQL, and demonstrated strong production ownership by solving cloud networking, cold start, CORS, and data deduplication issues after launch.”
“Full-stack engineer with deep startup experience (pre-seed through IPO/SPAC) currently building a Next.js/TypeScript SaaS sports analytics platform with a complex Postgres-based entitlement/ACL system. Has delivered measurable UX/business impact (35% retention lift, 40% volume increase) and built production-grade daily ETL + model training/inference workflows with validation and checkpointing for reliability.”
Senior Software Engineer specializing in backend systems, cloud, and AI applications
“Engineer with growth-stage startup experience on a 6-7 person cross-functional team, working across backend, data, and frontend systems. They’ve driven concrete improvements to high-volume data ingestion pipelines through batch processing and database optimization, and have built B2B SaaS data platforms for enterprise customers with multi-tenant support, integrations, and scalable backend services in Python and Go.”
Mid-Level Software Engineer specializing in full-stack web and cloud systems
Junior Full-Stack Software Engineer specializing in mobile apps and connected devices
Mid-Level Full-Stack Software Engineer specializing in React Native and TypeScript
Mid-Level Software Engineer specializing in secure distributed systems and file transfer
Entry-Level Full-Stack Software Engineer specializing in React Native and GraphQL
Mid-Level Software Engineer specializing in TypeScript/React, interactive experiences, and integrations
Senior Backend Engineer specializing in AI automation and scalable API systems
Mid-level Full-Stack Engineer specializing in AI workflow automation
Mid-level Full-Stack Software Engineer specializing in AI-powered web applications
Mid-level Software Engineer specializing in cloud microservices and ML systems
Mid-level ML & Full-Stack Engineer specializing in LLM systems and RAG
Mid-Level Full-Stack Software Engineer specializing in data pipelines, mobile apps, and AWS
Mid-Level Full-Stack Software Engineer specializing in cloud-native security & compliance platforms