Pre-screened and vetted.
Senior Python Developer specializing in AI/ML and cloud-native microservices
Principal Software Engineer specializing in systems, compilers, and networking
Director-level AI infrastructure engineering leader specializing in cloud operations automation
Director-level Technical Program & Engineering Leader specializing in global platforms, AI automation, and infrastructure
Mid-level Software Engineer specializing in backend, ML platforms, and FinTech
Senior AI Engineer specializing in LLM systems and scalable backend platforms
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in FinTech payments and scalable platforms
Executive AI/ML Cloud Architect specializing in enterprise and humanitarian AI systems
Mid-level AI/ML Engineer specializing in FinTech risk and fraud systems
Senior Software Engineer specializing in distributed systems and AI-powered platforms
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference
Executive technology leader specializing in cloud platforms, AI, and enterprise architecture
Senior Full-Stack Engineer specializing in backend systems and AI applications
“Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.”
Executive engineering leader specializing in AI, data infrastructure, and cybersecurity
“Senior engineering leader with deep hands-on experience building and scaling high-throughput platform infrastructure, including a Qualys core data platform using Kafka, Cassandra, OpenSearch, Ceph, and API gateways. He combines architecture depth with people leadership, and has led complex cross-team initiatives such as rolling out a Kubernetes-based container platform across 20 application teams using a phased migration strategy.”