Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in authentication and SolidJS/TypeScript
“Mid-level full-stack engineer (Los Angeles) who built and shipped an end-to-end authentication system for SolidAuth, an open-source SolidStart ecosystem library published to NPM with 1000+ downloads. Experienced designing React/TypeScript + Node + Postgres architectures, operating lightweight production systems on AWS (EC2/S3/RDS/IAM/CloudWatch), and building resilient third-party ingestion/integration flows with idempotency, retries, queues, and backfills; also worked in an early-stage NIL startup (OFFSZN) shipping core onboarding/profile features amid changing requirements.”
Senior Product Manager specializing in AI-driven engagement and gamification
“F2P product/game designer with live-ops experience on an NBC Group-owned mobile app in the MENA region (~200k users), driving personalization (segmented ads/trivia) and monetization (regional pricing, LTOs, season pass). Owns the full delivery lifecycle—PRDs/backlog through QA/UAT and release—and uses retention/conversion metrics and A/B testing to tune rewards and the game economy.”
Entry-level Software Engineer specializing in full-stack and AI systems
“Software engineer with hands-on experience spanning backend APIs, streaming data systems, and cloud/infrastructure automation, who is already using agentic AI workflows in a disciplined way. Stands out for combining practical systems work in Spring Boot, Kafka/Spark/ClickHouse, and Terraform/Kubernetes with a thoughtful approach to AI oversight, architecture, and multi-agent orchestration.”
Senior Backend Engineer specializing in distributed systems and AI-integrated APIs
“Backend-focused engineer with 7+ years of experience building cloud-native, distributed SaaS systems in startup-like environments, including healthcare and enterprise automation platforms. Strong in Go/Python microservices, event-driven architectures, and production AI/LLM integration, with hands-on experience scaling Kubernetes-based systems on AWS while balancing speed, reliability, and evolving product requirements.”
Junior Full-Stack Engineer specializing in AI-powered web platforms
“Full-stack engineer with hands-on experience shipping multiple AI-powered products, including donor recommendation systems, RAG-based document Q&A, and cybersecurity threat analysis tools. Stands out for combining TypeScript/React and backend API development with practical LLM evaluation, grounding, and production optimization—driving measurable outcomes like 30% higher donor engagement and 87% answer accuracy under 2-second latency.”
Mid-Level Software Engineer specializing in cloud-native microservices and full-stack development
“Full-stack engineer with deep startup experience building products from scratch under ambiguous requirements. Delivered a scalable, admin-configurable notification platform (Spring Boot/Java/Kafka) supporting 50+ notification types across 3 channels for 10k+ users, cutting new notification setup to ~5 minutes. Also built a Tinder-meets-LinkedIn job-swiping app (React/TS + Node/Prisma) and has hands-on AWS production ops (ECS/EKS, RDS, CloudWatch) plus multiple third-party integrations (Stripe, QuickBooks, Twilio).”
Junior Full-Stack Java Developer specializing in Spring Boot microservices and cloud DevOps
“Software engineer with hands-on production experience deploying Spring Boot services to AWS using Docker and Jenkins CI/CD, focused on stable releases, easy rollback, and performance improvements through monitoring/logging and query optimization. Has proven cross-layer troubleshooting skills (identified packet loss causing intermittent timeouts via network traces) and experience collaborating on-site with operators in industrial/IoT-style environments, including working alongside robotics/PLC teams.”
Junior Software Engineer specializing in cloud-native microservices and applied AI/ML
“Built and deployed a production AI accessibility platform that turns chart and image-based graphs into real-time audio narratives for visually impaired users. Implemented a ResNet-based CV + OCR + NLP + TTS pipeline and improved performance through preprocessing, Redis caching, and Kubernetes autoscaling/rolling updates on AWS to handle traffic spikes with no downtime.”
Mid-level Full-Stack Product Engineer specializing in React, TypeScript, and UX
“Full-stack engineer focused on Next.js (App Router) and TypeScript who has shipped and owned production role-based dashboards end-to-end, including post-launch reliability/performance work. Demonstrated measurable UI performance improvements (35–40% faster initial load) and strong backend rigor with Postgres query/index optimization (300ms to 30ms) plus durable Temporal-orchestrated onboarding/data-sync workflows with idempotency and retry strategy.”
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
“Built and shipped a production LLM-powered incident response agent for a microservices platform, automating alert triage and safe remediation recommendations with strong guardrails (RAG grounding, structured JSON outputs, rule-based validation, and human-in-the-loop). Implemented state-machine orchestration (Redis/Kafka), comprehensive eval/monitoring, and an error categorization pipeline that cut hallucination errors ~40% and reduced MTTR ~30%.”
Entry-Level GenAI/LLM Engineer specializing in agentic systems and RAG
“LLM/AI agent engineer with consulting/contract experience (Kanhaiya Consulting LLC) who deployed a production AI agent to automate BIM list workflows end-to-end—from database understanding and data cleaning to automated visualizations/dashboards. Worked around restricted real-time data access by generating synthetic data and improving outputs via supervised fine-tuning, and uses AWS-based LLMOps observability (Opic/OPEC) plus hybrid retrieval (vector+BM25 with reranking) to optimize relevance, latency, and cost.”
Mid-level Software Development Engineer specializing in Python, APIs, and AWS
“Backend engineer with experience modernizing legacy systems and building modular Python/Flask services, including a REST-to-GraphQL migration for an e-commerce platform that improved API response time by 45%. Strong in performance and scalability work across PostgreSQL/SQLAlchemy (indexing, JSONB, N+1 fixes, connection pooling) and high-throughput systems (Celery + Redis), plus integrating ML microservices with TorchServe, Kafka streaming, feature stores, and Prometheus/Grafana monitoring.”
“Software engineer with experience spanning healthcare middleware (patient records + insurance integration) and an AI fantasy football product built with React/TypeScript, Firebase, API gateways, and pandas-based data pipelines. Has hands-on microservices scaling experience (latency mitigation, async migration, state-based redesign) and built an internal feature-toggle dashboard that improved demo efficiency and sales outcomes.”
Junior Full-Stack/Product Engineer specializing in Next.js, TypeScript, and AWS backends
“Full-stack engineer with startup-style end-to-end ownership, recently shipping a production dashboard at Find Me LLC using Next.js App Router/TypeScript with Supabase + Azure Blob Storage for secure asset/document uploads. Strong server-first React performance mindset and hands-on Postgres modeling/query optimization (EXPLAIN ANALYZE), plus experience building resilient AWS event-driven workflows with idempotency, retries, and DLQs.”
Mid-level Unity Game Developer specializing in multiplayer and performance optimization
“Senior gameplay/multiplayer engineer based in Argentina with hands-on experience building Unity/C# networked systems end to end, including Mirror-based gameplay architecture and server-authoritative MMO-style networking. Particularly strong in multiplayer stability, sync/prediction design, and performance profiling across VR and mobile, with thoughtful early-stage architecture ideas for AI/LLM-enabled game features and internal pipelines.”
Mid-level Software Automation Engineer specializing in AI and healthcare IT
“Built production automation systems spanning Python integrations, analytics sync pipelines, and internal workflow apps. Notably automated an architectural site inspection process end-to-end with an app, database, and letter generation engine that reduced workload by 20%, and improved reliability of a Botpress/Supabase/Airtable cron integration by eliminating recurring rate-limit failures through batching.”
Mid-level Full-Stack Software Engineer specializing in AI and RAG systems
“Backend/AI engineer who built an enterprise RAG chatbot over 40,000+ technical documents, owning the system from ingestion and retrieval design through launch, optimization, and incident prevention. Stands out for treating LLM reliability as a data, retrieval, and observability problem—delivering 90%+ benchmark accuracy, ~50% fewer hallucinations, and major gains in lookup speed and latency.”
Senior Software Engineer specializing in frontend architecture and scalable e-commerce platforms
“Founding engineer at Salla who helped rebuild a monolithic Laravel merchant dashboard into a React/TypeScript Single-SPA microfrontend platform used by thousands of online stores. He combines hands-on frontend architecture, real-time operational dashboard design, and cross-team API/platform leadership, and says he built about 70% of the merchant-facing features in the system.”
Entry-level AI/ML Engineer specializing in RAG chatbots and backend systems
“Student technologist building production-oriented AI products, including a college guidance chatbot for Track2College and a voice-based travel assistant. Strong hands-on experience with RAG systems, FastAPI backends, TypeScript frontends, retrieval evaluation, and tool-using LLM workflows, with a clear focus on grounded, reliable user experiences.”
Executive strategy and operations leader specializing in SaaS, payments, and AI
“Operator and transformation leader with deep SaaS/payments experience across fintech, ecommerce, retail, and hospitality. Has led large cross-functional organizations through Agile, portfolio, and architecture transformations, including $20M ARR impact at Movex and major performance/cost gains at HS-Soft. Also brings founder-level strategic advisory experience, building ROI cases for growth and AI automation investments.”
Mid-Level Software Engineer specializing in backend microservices, payments, and ML pipelines
“Backend engineer who has led redesigns and migrations for a real-time logistics platform, improving scalability and resilience while managing eventual consistency tradeoffs. Demonstrates strong distributed-systems rigor (idempotency, transactions, async queues, monitoring) and builds secure, versioned FastAPI APIs with JWT/OAuth2, RBAC, and database row-level security.”
Junior Full-Stack Software Engineer specializing in Java/Spring Boot and Angular
“Backend-leaning full-stack developer (Java/Spring Boot, Angular, MySQL) who emphasizes rapid iteration with quality via clean code, validation, and API testing. Built a web application to help women connect directly with NGOs, focusing on an intuitive dashboard and user walkthroughs to support adoption, and designed flexible REST APIs to handle frequent requirement changes.”
Junior Full-Stack Software Engineer specializing in cloud, automation, and data-driven ML systems
“Master’s capstone at Stevens: conceptualized and helped build a cross-platform assistive mobile app for visually impaired users with currency detection (ML), voice-driven AI chatbot (OpenRouter), and a guided navigation video-call feature using a shared room code. Personally implemented Firebase login/sign-in, facial-recognition login, video calling, chatbot integration, and led integration/testing across the full app.”
Mid-Level Software Engineer specializing in full-stack and mobile development
“Frontend-leaning engineer who shipped an end-to-end map-based discovery feature in a React Native mobile app, integrating location-based REST APIs with strong UX polish (loading/empty/error states) and cross-platform performance fixes. Also has experience building a Python backend with JWT auth and layered service structure, plus prior infrastructure work setting up centralized logging and monitoring.”