Pre-screened and vetted in New York.
Junior Software Engineer specializing in AI-driven full-stack and distributed systems
Mid-level Software Engineer specializing in full-stack and AI-enabled platforms
Junior Software Engineer specializing in distributed systems, cloud, and LLM-powered search
Junior Software Engineer specializing in C++ systems and cloud-native platforms
Mid-Level Software Engineer specializing in full-stack systems and authentication
Mid-level Software Engineer specializing in distributed real-time systems
“Backend engineer focused on real-time, event-driven distributed systems (Node.js/TypeScript) with strict latency and reliability requirements. Deep hands-on experience debugging concurrency issues and designing resilient workflows (idempotency, circuit breakers, compensating actions) with strong observability; familiar with ROS/ROS2 concepts and confident ramping into robotics integrations.”
Junior Software Engineer specializing in full-stack web and AWS cloud automation
“Software developer with experience delivering and deploying customer-facing web applications, including an investment-focused platform requiring PostgreSQL/SQL optimization and hierarchical (adjacency list) data modeling. Has integrated payment APIs for a retail/antique shop use case, factoring in rate limits and documentation-driven implementation, and has handled time-sensitive production bugs via rapid replication and hotfix deployment.”
Junior Full-Stack Software Engineer specializing in mobile, cloud, and GenAI integration
“Software engineering intern with hands-on ownership of a Java/Spring Boot order management microservice, including production performance tuning via Redis caching and database indexing driven by API logs/metrics. Also contributed to a production mobile-backend LLM feature using RAG with embeddings over structured data and documents (DB + object storage), with guardrails to keep responses grounded.”
Mid-level Backend Engineer specializing in high-scale systems and LLM pipelines
“Open-source-focused TypeScript/JavaScript engineer who built a lightweight Node.js utility library to standardize LLM-agent message formatting, tool invocation, and safe schema-validated JSON outputs. Emphasizes composable abstractions, real-world performance profiling/benchmarks, and strong community feedback loops (GitHub issues, structured errors, logging hooks). Also did research at Syracuse University on converting natural language into structured JSON with validation layers.”
Entry-Level AI/ML Engineer specializing in LLM apps and RAG pipelines
Junior Full-Stack Software Engineer specializing in web platforms and APIs
Mid-Level Software Engineer specializing in backend systems, data pipelines, and observability
Mid-Level Software Engineer specializing in full-stack web development and FinTech
Mid-Level Software Engineer specializing in full-stack development and data/ML systems
Mid-Level Full-Stack Software Engineer specializing in Healthcare IT
Entry-Level Full-Stack Engineer specializing in React/Next.js and Node.js
Senior Software Engineer specializing in AI automation and conversational agents
Senior Full-Stack Engineer specializing in AI systems and blockchain
Mid-Level Software Engineer specializing in backend systems and distributed messaging
Mid-Level Software Engineer specializing in Java, microservices, and automation
Junior Full-Stack Engineer specializing in AI-enabled web apps and AWS serverless systems
Mid-Level Software Engineer specializing in backend, data engineering, and Healthcare IT