Pre-screened and vetted.
Senior Software Engineer specializing in LLM infrastructure and AI inference platforms
“Google Workspace AI engineer who owned major AI assistant infrastructure end-to-end: React/TypeScript UI, a Node.js context-aggregation gateway on Cloud Run, and a Go inference layer on GKE serving Gemini. Built and productionized Gmail RAG + agentic workflows with rigorous evals and guardrails, and has a strong track record of measurable impact (latency, engagement, acceptance-rate lifts) and zero-incident migrations using feature flags/strangler patterns across multiple ML teams.”
Senior Software Engineer specializing in distributed systems, AI/ML, and healthcare platforms
Senior Software Engineer specializing in cloud platforms and healthcare AI
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack Engineer specializing in Python back ends and cloud-native systems
Senior Software Engineer specializing in AI platforms, payments, and consumer systems
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Senior Backend Engineer specializing in distributed systems and cloud platforms
Senior Software Engineer specializing in AI platforms and full-stack cloud systems
Senior Full-Stack Software Engineer specializing in AI platforms and cloud data systems
Senior Software Engineer specializing in AI systems and real-time distributed platforms
Senior Applied AI Platform Engineer specializing in RAG and LLM systems
Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines
Senior Full-Stack Engineer specializing in backend platforms and data systems
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”
Staff Full-Stack AI Engineer specializing in FinTech and Enterprise SaaS
“Full-stack engineer with Yahoo Finance experience building AI-powered investment and analytics features. They combine modern TypeScript/React/NestJS development with strong backend systems skills in PostgreSQL, Redis, Kafka, and Kubernetes, and have driven architectural improvements from synchronous workflows to event-driven microservices in a high-traffic financial environment.”
Mid-level Software Engineer specializing in backend systems, real-time data pipelines, and FinTech
“Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.”
Senior Software Engineer specializing in Python backend and applied AI platforms
Senior Software Engineer specializing in cloud-native microservices and real-time systems
Senior Backend/Full-Stack Software Engineer specializing in cloud microservices and APIs
Staff-level Software Engineer specializing in distributed systems and cloud platforms