Pre-screened and vetted.
Executive engineering leader specializing in AI, platforms, and streaming media
“Engineering leader with experience at CBS Interactive and Paramount who scaled a web engineering team from 4 to 30+ (adding QA/PMO/mobile) while instituting strong agile and code-quality processes. Led a major architectural shift to a generic content API that decoupled web/mobile experiences from niche publishing systems, reportedly cutting developer onboarding time by ~50% and enabling some day-one production commits.”
Mid-level AI Engineer specializing in machine learning and healthcare research
“Backend engineer with end-to-end ownership of scientific and AI-powered systems, including neuron imaging pipelines at Monell Chemical Senses Center and an LLM-based structured information extraction platform for Wharton and PSG. Stands out for turning messy, compute-heavy workflows into reliable production backends with measurable impact, including saving researchers over 50 hours per week.”
Mid-level Data Engineer specializing in multi-cloud analytics platforms
“Data engineer with hands-on GCP platform experience spanning BigQuery, Cloud SQL, Dataflow, and Cloud Composer, including both production operations and cloud migration work. They led a migration from legacy SQL Server/Oracle systems to a cloud-native BigQuery architecture and cite measurable impact: processing reduced from hours to minutes, query latency improved 60%+, and ingestion time improved 40%.”
Mid-level Full-Stack Engineer specializing in cloud-native data and enterprise platforms
“Software engineer with practical, day-to-day experience embedding AI into development workflows across coding, testing, code review, and AWS data pipelines. Uses tools like Claude, Cline, JUnit, Mockito, and Amazon Bedrock, and stands out for having a realistic, mature view of agent limitations, hallucinations, and the need for strong prompting and human validation.”
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference
Intern Software Engineer specializing in systems, containers, and cloud infrastructure
Junior Software Engineer specializing in scalable systems and cloud infrastructure
Intern AI/ML Engineer specializing in LLM systems and cloud-native microservices
Senior Software Engineer specializing in cloud-native microservices and full-stack web apps
Senior Software Engineer specializing in cloud-native, event-driven platforms and AI
Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in cloud-native web applications
Senior Software Engineer specializing in Python, AWS, and cloud-native backend systems
Mid-Level Software Engineer specializing in distributed systems and AI/ML pipelines
Senior AI/ML Developer specializing in LLMs, RAG, and generative AI
Mid-level Python Full-Stack Developer specializing in FinTech and ML systems
Senior AI/ML Engineer specializing in Generative AI, NLP, and LLM systems
Mid-level Full-Stack Software Engineer specializing in Python, React, and FinTech
Senior Backend Software Engineer specializing in Python and AWS cloud services
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AI integrations