Pre-screened and vetted.
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI applications
“ML/LLM engineer with hands-on experience shipping production RAG systems at Google Clinical Search and GenAI recommendation/summarization features in Meta Ads. Stands out for combining research-to-production execution with rigorous grounding, evaluation, safety checks, and reusable Python platform components that improved both reliability and team velocity.”
Senior Full-Stack Engineer specializing in integrations, microservices, and data platforms
Senior Software Engineer specializing in backend systems and web applications
“Engineer with startup experience building AI-powered internal knowledge and support products from ambiguous early-stage concepts into production systems used by multiple teams. Particularly strong in end-to-end LLM product delivery across backend orchestration, retrieval, observability, security, and full-stack user experience, with clear impact on productivity and self-service adoption.”
Senior Software Engineer specializing in Java backend and OLAP systems for Ads platforms
Senior Full-Stack Software Engineer specializing in cloud-native web platforms and FinTech
Senior AI/ML Software Engineer specializing in production ML systems
Senior Full-Stack Engineer specializing in distributed systems and real-time platforms
Senior Software Engineer specializing in AI-enabled full-stack and backend systems
Senior Backend Developer specializing in cloud APIs and microservices
Senior AI/ML Engineer specializing in LLM systems and FinTech platforms
Senior Full-Stack Software Engineer specializing in TypeScript, React, and Node.js
“Meta engineer who owned a heavily used internal goals/performance management feature end-to-end, driving major responsiveness improvements by restructuring frontend data loading and adding backend caching (Memcached), cache warmups, and query/index tuning. Strong focus on production quality: observability, error monitoring, and improving test coverage to prevent regressions during peak review cycles.”
Senior Backend/Full-Stack Engineer specializing in scalable microservices on AWS
“Backend/data engineer with production experience at Uber building a near real-time driver rewards service on AWS (FastAPI, PostgreSQL, Redis) with strong reliability and concurrency controls. Also delivered AWS Lambda/ECS containerized deployments with GitHub Actions CI/CD and cost governance, built AWS Glue ETL with schema-evolution handling, and drove a ~10x SQL performance improvement while owning incident response via CloudWatch.”
Mid-level Software Engineer specializing in backend APIs, data pipelines, and cloud microservices
Senior Full-Stack Engineer specializing in FinTech and scalable platforms
Intern/Student Software Engineer specializing in full-stack development, AI/ML, and quantitative finance
“Software engineering intern who built an internal AI-agent automation using the Gemini API to reduce manual CRM data entry, iterating prompts closely with analysts to address precision concerns. Also worked on a medical image-diagnostics LLM project involving fine-tuning and benchmarking multiple model approaches, and has quant/sales-trading experience building automated pricers for complex options and persuading sales teams to adopt them with ROI-focused metrics.”
Junior Full-Stack Software Engineer specializing in scalable web platforms and AI integration
“Frontend engineer from Amazon Advertising who owned a sophisticated React/TypeScript ad creative builder used by advertisers and ad ops teams. Stands out for combining deep browser-level debugging with product-minded UX improvements that reduced support escalations and made complex multi-placement ad configuration faster and more reliable for power users.”
Senior Full-Stack Engineer specializing in cloud-native web apps and data pipelines
“Backend/data engineer with healthcare/telehealth domain experience, building patient appointment and data-processing systems on AWS. Has delivered production microservices and ETL pipelines (Flask/Celery, Glue/PySpark) with strong reliability/observability practices (JWT, retries/timeouts, Sentry/CloudWatch) and modernization experience migrating SAS workflows to Python services, including a documented 10min→30sec SQL performance win.”
Senior Full-Stack Engineer specializing in scalable web, cloud, and engagement systems