Pre-screened and vetted.
Mid-level AI Engineer specializing in full-stack AI and automation systems
“AI/ML engineer with hands-on experience owning production deployments from discovery through post-launch stabilization, including real-time computer vision/OCR systems and LLM-powered RAG workflows. Stands out for translating messy customer workflows into reliable backend services, debugging non-deterministic retrieval issues, and hardening AI systems with validation, monitoring, and human-review fallbacks.”
Junior Software Engineer specializing in full-stack web and cloud development
“Full-stack engineer who has owned both institutional and personal products end-to-end, including Rutgers' myCommunity platform used by 70,000+ students. Particularly strong in production systems, data synchronization, authentication, and third-party API integrations, with a pragmatic approach to shipping, observability, and UI modernization.”
Senior AI/ML Engineer specializing in NLP, computer vision, and cloud ML systems
“AI/ML engineer with 9+ years of experience building production recommendation and LLM systems end-to-end, from experimentation through deployment, monitoring, and retraining. Stands out for combining strong MLOps discipline with practical GenAI/RAG implementation, including measurable impact such as ~25% higher engagement on an e-commerce recommender and nearly 30% faster knowledge retrieval from internal documents.”
Senior Full-Stack Engineer specializing in real-time SaaS, IoT, and AI applications
“Full-stack JavaScript engineer with hands-on ownership of a retail loyalty platform spanning Next.js on Vercel and NestJS microservices on Azure. Stands out for designing complex real-time and event-driven flows, including Bluetooth-connected React Native work, shared TypeScript contracts across frontend/backend, and production reliability patterns like webhooks, revalidation, logging, and retry Cron jobs.”
Mid-level Frontend Engineer specializing in high-performance web applications
“Frontend-focused engineer with experience building internal editorial tools at Healthcentral using React, TypeScript, Redux Toolkit, Node.js, and MongoDB. Stands out for simplifying complex CMS workflows and solving real production performance issues, including a JW Player migration optimized with a facade-based lazy-loading approach.”
Mid-level Full-Stack Engineer specializing in AI, healthcare IT, and cloud platforms
“Full-stack and AI product engineer with strong accessibility and voice-interface experience in senior living, building systems for older adults where trust and usability are critical. Has shipped React/TypeScript and .NET MAUI products, productionized Azure OpenAI features, built RAG-based research tools, and improved both product outcomes and technical performance with measurable impact.”
Senior Python Full-Stack Engineer specializing in AI-powered backend systems
“Backend-leaning full-stack engineer with startup experience building AI-powered products and ERP/SaaS platforms. They’ve delivered Python/FastAPI/Django and React systems on AWS, including an AI document processing platform and business workflow tools used by thousands of users, with strong hands-on depth in database optimization and production operations.”
Entry-level Full-Stack Engineer specializing in AI-powered web applications
“Full-stack TypeScript engineer who has built AI-powered product workflows in Next.js/Node.js and owned production backend architecture for a PostgreSQL marketplace app. Stands out for combining product delivery with strong data security patterns and measurable performance gains, including reducing p95 API latency from 780ms to 460ms.”
Senior Game Engineer specializing in multiplayer and metaverse systems
“Unity multiplayer developer with hands-on experience building and syncing gameplay ability systems and solving network instability issues via an owner-synced state system. Has migrated live projects from Photon PUN2 to Photon Fusion and worked on XANA Metaverse and Run For Money, including network optimization and client-server system design.”
Mid-level Full-Stack Software Engineer specializing in AI-augmented web and mobile systems
“Builder-oriented engineer who has shipped production systems across fintech-style payments, mental health recommendations, industrial oil-and-gas analytics, and AI-assisted client discovery. Stands out for combining deep backend reliability practices with founder-facing product scoping, and reports using Claude-based internal tooling to increase delivery capacity by 40% and handle eight concurrent projects.”
Senior Full-Stack Software Engineer specializing in Python, Django, and Generative AI
“Backend/data engineer with hands-on production experience building partner-facing Python APIs (FastAPI, Celery, Postgres/Redis) and AWS serverless data platforms (Lambda, SQS, Step Functions, Glue). Emphasizes reliability and governance—JWT tenant-scoped auth, secrets/config hygiene, data-quality quarantine, and incident ownership—plus measurable SQL tuning that eliminated timeouts and stabilized reporting workloads.”
Senior AI/ML Engineer specializing in Generative AI, LLMs, and NLP
“ML/AI engineer with hands-on experience building healthcare and fraud-detection systems from experimentation through deployment, monitoring, and retraining. Stands out for combining real-time IoT pipelines, cloud-native MLOps, and GenAI/RAG in regulated healthcare settings, with reported impact including reduced emergency response times and a 25% reduction in manual diagnosis time.”
Mid-level DevSecOps Engineer specializing in secure CI/CD and FedRAMP-aligned cloud infrastructure
“Cloud infrastructure/DevOps engineer focused on AWS/Azure production environments, with hands-on experience running EKS-based platforms, Terraform-driven IaC, and secure Jenkins/GitLab CI pipelines. Has led real-world migrations from EC2 to Kubernetes using blue/green cutovers and executed multi-AZ failover testing with documented same-day recovery and no data loss; does not have direct IBM Power/AIX ownership experience.”
Senior Platform Engineer specializing in AWS cloud infrastructure and internal tooling
“Infrastructure engineer focused on AWS platform automation: built a full CloudFormation-based environment (networking, Aurora, ElastiCache) and created Python tooling plus Lambda-backed custom resources to automate deployments, user provisioning (MySQL/RabbitMQ), and operational workflows. Also migrated a company from Rackspace to AWS and maintains an 8-year Debian homelab with VMs/containers, RAID6 backups, and GPU passthrough troubleshooting. No Kubernetes experience.”
Junior Software Engineer specializing in distributed systems and low-latency backends
Junior AI Engineer specializing in LLM agents, RAG, and MLOps
Mid-level QA Engineer specializing in web/mobile test automation and SaaS quality
Mid-Level Full-Stack Software Engineer specializing in cloud and analytics platforms
Mid-level Full-Stack Engineer specializing in web/mobile apps and AI (RAG/GraphRAG)
Mid-Level Full-Stack Software Engineer specializing in cloud web apps and Microsoft Dynamics 365
Junior Full-Stack Software Engineer specializing in Java/Spring Boot, React, and cloud microservices
Senior Full-Stack Engineer specializing in Python and MERN web applications
Senior QA Engineer specializing in test automation for web, mobile, and SaaS
Junior Software Engineer specializing in backend systems and cloud data pipelines