Pre-screened and vetted.
Senior Software Engineer specializing in distributed backend systems and streaming infrastructure
Senior Software Engineer specializing in high-scale backend systems on Google Cloud
Senior AI/ML Software Engineer specializing in production ML systems
Staff-level Software Engineer specializing in distributed systems and ML infrastructure
Director/Principal Engineer specializing in distributed systems, cloud platforms, and GenAI
Senior Full-Stack Software Engineer specializing in developer tools and QA automation
Mid-level Software Engineer specializing in healthcare IT and FinTech
Senior Software Engineer specializing in healthcare AI and cloud platforms
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
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
Principal Data Scientist specializing in Generative AI and security analytics
Senior Software Engineer specializing in backend systems and data platforms
Mid-level AI/ML Engineer specializing in Generative AI and multilingual NLP
Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk
“Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.”
Senior Software Engineer specializing in AI, full-stack platforms, and real-time systems
“Built end-to-end AI analytics experiences spanning React/TypeScript, serverless APIs, and Postgres, with a strong focus on streaming UX, observability, and reliability. Stands out for turning ambiguous AI product ideas into shippable MVPs, then abstracting repeated patterns into reusable orchestration and multi-tenant configuration systems that improved speed, consistency, and maintainability.”