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.”
Senior Frontend Engineer specializing in React, React Native, and FinTech platforms
“Frontend engineer with strong experience building enterprise-grade banking interfaces, including a cross-platform credit card application with secure document uploads, real-time status tracking, and complex multi-step e-forms. Stands out for combining React/TypeScript architecture skills with deep browser-level debugging and measurable UX improvements in regulated financial environments.”
Entry-level Full-Stack Engineer specializing in Applied AI and multi-agent systems
“Built both traditional full-stack products and advanced LLM systems, from a React/Flask dashboard used by instructors to monitor GitHub contribution patterns to multi-agent benchmark infrastructure at Analytiverse. Particularly strong in evaluation-heavy AI engineering: designed executable verifiers, force-zero anti-reward-hacking checks, and token-optimization strategies that delivered a 40-point pass-rate lift and 90x token reduction on SwarnBench tasks.”
Entry-level AI and Data Analyst specializing in LLMs and analytics
“Candidate brings a blend of AI, analytics, and go-to-market support experience through an AI/data internship and graduate assistant role. They analyzed data across 50+ organizations to identify high-fit outreach segments, improving targeting efficiency by about 28%, and also built/reviewed GPT-4 and LangChain-based outbound messaging systems with strong quality controls.”
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-level Performance Media Buyer specializing in Meta Ads and Google Ads
“Performance marketer who scaled a digital education product using Meta and Google Ads, growing from ~$40K to $200K monthly revenue while increasing spend, then reaching $800K revenue in a single month on $70K ad spend (ROAS 10). Strong in direct-response funnel optimization (creative, landing page, checkout, offer/AOV) with disciplined testing methods (sample size validation, URL split testing) and clear client communication.”
Mid-level Full-Stack Engineer specializing in web platforms and automation
“Full-stack product engineer who has built both a production-grade React/Next.js analytics platform and a Stripe-based subscription system end to end, with measurable business impact including churn reduction, reporting automation, and cost savings. Also stands out for 0-to-1 work in the digital art space, where they built an AI-powered cataloguing and delivery pipeline over 30TB of assets using computer vision, Shopify, and cloud infrastructure.”
Entry-Level Full-Stack Software Engineer specializing in web apps and LLM-powered tools
Mid-level Full-Stack Engineer specializing in AI workflow automation
Entry-level Data Scientist and Software Engineer specializing in AI and data pipelines
Mid-level Full-Stack Developer specializing in scalable web apps and cloud deployment
Mid-level ML & Full-Stack Engineer specializing in LLM systems and RAG
Mid-level Machine Learning Engineer specializing in NLP and LLM evaluation
Intern Software QA Engineer specializing in mobile and web application testing
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI
Junior Software Engineer specializing in AI-driven full-stack systems
Junior Software Engineer specializing in full-stack and cloud AI systems
Mid-level Software Engineer specializing in AI agents and full-stack systems
Mid-level Full-Stack Engineer specializing in web platforms and AI-enabled products
Mid-level AI/ML Engineer specializing in LLM-powered RAG systems and MLOps
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines