Pre-screened and vetted.
Senior Full-Stack Engineer specializing in Python web and cloud applications
“Full-stack engineer with strong Python/React experience who has built systems from scratch, including a custom POS platform as the sole initial engineer. They also bring applied experience across IoT reward platforms, HR matching/search systems, and LLM-powered automation products, with a track record of improving reliability and speed through thoughtful architecture decisions.”
Senior Backend Engineer specializing in cloud-native microservices and AI backend systems
“Backend-leaning full-stack engineer who has repeatedly built web products end-to-end, including an artist booking and event management platform with complex location-based pricing, search, and booking flows. Strongest signal is ownership of backend architecture, API design, database modeling, performance optimization, and production stabilization while also partnering on frontend integration and UX improvements.”
Senior Full-Stack AI/ML Engineer specializing in MLOps and GenAI
“Senior backend/data engineer who has built and maintained HIPAA-compliant, real-time clinical FastAPI services on AWS, orchestrating ML/LLM and vector DB calls with strong reliability patterns (auth, timeouts/retries, graceful degradation, idempotency). Also delivered AWS IaC/CI-CD (Terraform/Helm/GitHub Actions) across EKS/Lambda/SageMaker and built Glue/Spark ETL with schema evolution and data quality controls, plus demonstrated large SQL performance wins (15 min to <9 sec) and hands-on incident ownership.”
Senior Full-Stack Game Developer specializing in Unity and backend systems
“Unity game developer with hands-on gameplay AI experience (FSM-driven monsters with customized NavMeshAgent movement) focused on creating readable, high-tension survival encounters through iterative tuning. Has shipped/created 4 Unity games solo end-to-end (UI, animations, architecture, state machines) and has also built a full Python game server; some exposure to Photon Fusion and strong client/server REST API implementation experience.”
“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.”
Senior Full-Stack Developer specializing in Node.js/TypeScript, cloud, and data engineering
“Frontend/fullstack lead who inherited a messy psychological app with production issues, drove a rapid stabilization (2–3 weeks) and major performance/architecture overhaul (Redux Toolkit, memoization, caching, lazy loading, CDN offload to S3/CloudFront). Also owns delivery and infrastructure practices (multi-env, Docker, GitHub Actions CI/CD, AWS ECS + load balancing) and led a 1-week POC for an AI-powered trucking management system (app.neblo.ai).”
Mid-level Machine Learning & Generative AI Engineer specializing in AI agents and LLM workflows
“Customer-facing AppSec/solutions engineer with experience securing cloud-native AI/LLM deployments on Azure and Kubernetes. Led threat modeling and production hardening (Key Vault secrets migration, least-privilege IAM, rate limiting, structured logging/monitoring, LLM guardrails) and has supported retail search/catalog platforms using Elasticsearch, including performance triage and rollout playbooks that improved customer trust and enabled engagement expansion.”
Mid-Level Applied AI Engineer specializing in LLM services, RAG, and OCR/NLP extraction
“Backend/platform engineer who built and evolved a large-scale healthcare document processing system (OCR + LLM orchestration) in Python/FastAPI on Google Cloud (Cloud Run, GCS, Firestore), processing ~1.5M files per batch and tens of millions overall. Emphasizes reliability and operational safety via deterministic IDs, idempotent state machines, strong observability, and self-healing reconciliation, plus disciplined migrations using dual-run validation and incremental rollouts.”
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.”
Junior Software Engineer specializing in backend, cloud, and AI systems
“New grad software engineer who has already built both a full-stack location-based social app and an internal AI on-call copilot using OpenAI and LangChain. Stands out for combining end-to-end product execution with practical LLM engineering, including RAG, fallback design, citations, and production evals, plus shipping a hackathon-winning MVP in 24 hours.”
Entry-level Full-Stack Software Engineer specializing in AI/ML and cloud systems
“Software engineering intern who built and deployed a full-stack telemedicine platform (React/Node/MongoDB) used daily in a pediatric clinic, incorporating PyTorch-based predictive features. Demonstrated strong customer-facing iteration and production performance debugging—resolved a live slowdown by indexing/optimizing MongoDB queries and adding caching, improving response times by ~50%.”
Senior Go Engineer specializing in low-latency FinTech platforms
“Backend/distributed-systems engineer with 9 years of Go experience, focused on financial-services platforms where performance, reliability, and regulatory auditability are critical. He has built low-latency market data infrastructure (p99 under 8ms) and optimized compliance/reporting systems used by finance and audit teams, combining strong systems design with practical production operations.”
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.”
Mid-level Full-Stack Cloud Engineer specializing in GCP/Azure and AI-powered applications
“Backend/DevOps-leaning engineer who has owned a Python serverless platform on AWS (Lambda, DynamoDB, Step Functions), including complex multi-step business workflows with transaction-based consistency and robust failure handling. Also supported an on-prem SQL to Azure Data Lake migration by building and monitoring Python + Azure Data Factory ETL pipelines, and led GitOps-style CI/CD automation with GitHub Actions (tests, security scans, automated deployments).”
Senior DevOps Engineer specializing in multi-region AWS/GCP cloud infrastructure
“Backend/data engineer with strong AWS production experience spanning FastAPI microservices and large-scale data pipelines. Has delivered containerized Python services on EKS with Terraform/Helm/GitHub Actions, implemented robust auth/secrets practices, and owned ETL reliability (Glue/S3/Redshift) including incident response and idempotent reruns. Demonstrated SQL tuning on 50M-record ETL workloads to remove SLA misses and improve reliability.”
Mid-level Full-Stack Developer specializing in AI-driven cloud-native applications
“Full-stack engineer with healthcare/ops analytics experience at PatientXpress, shipping a real-time operational dashboard end-to-end (React/TypeScript + Node/Postgres on AWS) that cut manual reporting by 50%. Strong in performance and reliability work—pagination/caching, Postgres indexing/partitioning, Terraform-based AWS provisioning, CI/CD with GitHub Actions, and production incident response with improved monitoring (CloudWatch/Prometheus).”
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.”
Mid Full-Stack Developer specializing in SaaS web applications
“Frontend engineer with experience building a technically demanding weather broadcasting dashboard in React and TypeScript, including custom wind-particle map visualizations derived from raw weather data. Demonstrates practical performance optimization in both heavy map rendering and large dynamic forms.”
Mid-level Full-Stack Engineer specializing in backend systems and microservices
“Full-stack/backend-leaning engineer who owned Shoptaki's Smart ID authentication platform end to end, building a centralized identity system that secured four services and removed duplicated auth logic. Also introduced and operationalized Claude Code in a TypeScript microservices environment, using prompt refinement, CI, and code review guardrails to improve development speed without compromising architecture or security.”
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.”
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.”