Pre-screened and vetted.
Junior Machine Learning Engineer specializing in fraud detection and healthcare ML
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Senior Software Engineer specializing in AI/ML and customer-facing platforms
Senior Full-Stack AI Engineer specializing in LLM and speech-to-text products
Senior Software Engineer specializing in distributed systems and cloud infrastructure
Senior Software Engineer specializing in backend systems, connectivity testing, and cloud pipelines
Director-level Data & AI Engineering Leader specializing in cloud-native analytics and GenAI
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Mid-level Data Scientist specializing in Generative AI and LLM applications
Principal Data Scientist specializing in Generative AI and security analytics
Senior Full-Stack Software Engineer specializing in AI/ML for FinTech & E-commerce
Senior AI/ML Engineer specializing in generative AI and recommendation systems
Junior Software Engineer specializing in backend systems and security
Mid-level AI/ML Engineer specializing in Generative AI and multilingual NLP
Junior Software Engineer specializing in full-stack and cloud systems
“Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.”
Senior Backend Developer specializing in cloud APIs and microservices
Senior Full-Stack Engineer specializing in React, Python/Django, and AWS
Software Engineering Manager specializing in Alexa AI and large-scale distributed systems
“Engineering manager/player-coach in the Alexa media ecosystem who led delivery of a Tier-1 gateway service enabling third-party providers (e.g., Spotify/Pandora) to control playback across users’ Echo devices, driving 10–15% lifts in engagement metrics. Deep in API design, AWS infrastructure choices (EC2 vs Fargate), OAuth/LWA auth flows, and production rigor (security reviews, load testing, feature-gated dial-ups), with demonstrated incident ownership and operational automation wins.”