Pre-screened and vetted.
Senior Applied AI Engineer specializing in enterprise AI and ML platforms
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Senior AI/ML Engineer specializing in generative AI and recommendation systems
Senior Full-Stack Software Engineer specializing in scalable web platforms
Senior Full-Stack AI Engineer specializing in generative AI and cloud platforms
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Staff Backend/Distributed Systems Engineer specializing in cloud observability and payments
“Backend/full-stack engineer with experience building large-scale systems on Salesforce and eBay, including a sharded Oracle-backed personalization store used by millions of sellers and a Spring Boot microservice that executes scheduled payouts at high volume. Emphasizes production readiness via state-machine-based idempotency, strong observability (Splunk/Elasticsearch/PagerDuty), and extensive Selenium/Sauce Labs automation.”
Junior Software Engineer specializing in cloud data infrastructure and distributed systems
Senior Full-Stack Engineer specializing in frontend architecture, AI, and scalable web apps
Senior Full-Stack Software Engineer specializing in cloud-native web and mobile apps
Senior Full-Stack Software Engineer specializing in web platforms and AI/ML-enabled services
Senior AI/ML Engineer specializing in foundation models, LLMs, and agentic AI
Senior Python Backend Engineer specializing in cloud-native SaaS and microservices
Senior Full-Stack Python Engineer specializing in cloud microservices and AI/LLM systems
Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Software Engineer specializing in AI for Healthcare and Enterprise SaaS
Mid-level DevOps Engineer specializing in cloud-native infrastructure on AWS and Azure
“DevOps/SRE focused on cloud-based distributed systems, with strong hands-on Kubernetes production experience (microservices deployments, Helm, probes, resource tuning, CI/CD and Docker build standardization). Demonstrated end-to-end troubleshooting across application, infrastructure, and networking layers—e.g., isolating degraded storage via node disk I/O metrics and restoring performance by draining the node and replacing the volume. Builds Python automation for operational reliability, including scheduled Kubernetes secrets rotation integrated with an external secret manager.”
Staff Software Engineer specializing in FinTech and payments platforms
Mid-level Full-Stack Python Developer specializing in FinTech and ML-driven automation