Pre-screened and vetted.
Senior Software Engineer specializing in Python, APIs, and cloud-native integrations
Staff Data Scientist / AI-ML Engineer specializing in fraud detection, NLP, and recommendations
Senior Software Engineer specializing in cloud-native healthcare platforms
Staff Platform Architect specializing in distributed systems and enterprise architecture
Senior Full-Stack Engineer specializing in AI, Web3, and scalable web platforms
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Senior Software Engineer specializing in healthcare imaging and FinTech systems
Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems
Senior Software Engineer specializing in AI agents and cloud platforms
Mid-level Software Engineer specializing in backend, ML platforms, and FinTech
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in FinTech payments and scalable platforms
Director-level Software Development Manager specializing in AWS infrastructure and distributed systems
Senior Full-Stack Software Engineer specializing in large-scale streaming platforms
Staff Software Engineer specializing in FinTech and scalable distributed systems
Senior AI Engineer specializing in machine learning, NLP, and generative AI
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.”
Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud-native microservices
“Backend engineer (4 years) who built an end-to-end Python backend for a patent-pending in-car massager/heater system, including GraphQL data modeling and Bluetooth integration with an ESP32 microcontroller (reverse engineered a niche protocol). Also has strong platform experience: on-prem Kubernetes/CI-CD (Jenkins/GitLab, exploring ArgoCD GitOps), Terraform-based infra workflows, a RabbitMQ messaging library used across microservices, and an on-prem migration of ~30 critical applications with rollback/parallel-run strategy.”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference
“Backend/retrieval-focused engineer with production experience at Perplexity building a large-scale real-time Q&A system using retrieval-augmented generation, emphasizing low-latency, high-quality answers through ranking, context optimization, and caching. Also has orchestration experience from both product-facing LLM pipelines and large-scale infrastructure workflows at Meta, and has partnered with non-technical stakeholders to align AI trade-offs with business goals.”