Pre-screened and vetted in Florida.
Senior Full-Stack Engineer specializing in AI/ML product engineering
Senior Full-Stack Engineer specializing in cloud platforms and applied AI
Senior Full-Stack Engineer specializing in backend systems and cloud-native microservices
Principal Full-Stack Engineer specializing in AI platforms and enterprise systems
Senior Software Engineer specializing in cloud-native backend, ETL, and AI/ML on AWS
Mid Software Engineer specializing in distributed cloud-native backend systems
“Backend/AI workflow engineer who built production-grade orchestration systems for hardware security verification at Silicon Assurance (Nextflow/Python/Postgres) and a multi-agent LLM-driven regulatory code checking system at the University of Florida. Emphasizes reliability: strict plan/execute/verify boundaries, queue-based isolation, and strong observability/auditability with Prometheus/Grafana and persisted prompts/tool calls.”
Mid-level Full-Stack Developer specializing in Healthcare IT and FinTech
Senior Backend Engineer specializing in AWS serverless and data-intensive systems
Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML
“Senior engineering manager who stays hands-on (~50/50) while leading teams through design reviews, code reviews, and production issue triage. Shipped scalable platform features (notifications, user action tracking via microservices) with strong quality/performance practices (TDD, high-load testing). Owned a complex cross-system SSO/IdP incident end-to-end, identifying a SameSite+iFrame root cause and delivering a configurable product fix plus support documentation.”
Senior AI Engineer specializing in conversational AI and enterprise machine learning
Senior Full-Stack Python Engineer specializing in AI, microservices, and real-time systems
Senior Full-Stack Developer specializing in AI-powered web applications
Senior Software Engineer specializing in Java/Spring Boot microservices for banking and healthcare
Senior AI/ML Data Engineer specializing in LLMs, RAG, and intelligent platforms
“Built and owned end-to-end production systems for a healthcare platform, including a predictive task recommendation feature (React + FastAPI + ML on AWS ECS) that cut backlog 20% and saved coordinators ~10 hours/week. Also productionized an AI-native RAG system (vector DB + LLM) delivering 40% faster query resolution, and led phased modernization of a monolithic FastAPI service into async microservices using feature flags and canary releases.”
Mid-level Full-Stack Software Engineer specializing in React and Node.js microservices
Mid-level Full-Stack Developer specializing in cloud-native microservices and AI-enabled APIs
Senior Full-Stack Python Engineer specializing in cloud-native microservices and AI integrations
Director-level healthcare technology leader specializing in FHIR, AI/ML, and security
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”
Senior Full-Stack Engineer specializing in .NET, Angular, Azure, and AI automation