Pre-screened and vetted in New Jersey.
Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices
Mid-level Machine Learning Engineer specializing in Bayesian inference and reinforcement learning
Mid-Level Full-Stack Software Engineer specializing in FinTech and data platforms
Mid-level Java Full-Stack Developer specializing in Spring Boot microservices for banking and healthcare
Mid-level Software Engineer specializing in AI, big data, and distributed systems
“Software Developer at NYU (GEMSS) focused on scaling and optimizing a data-heavy asset management web app, including migrating/optimizing data access via Google Sheets API and Firestore. Previously an SDE at Sainapse working on Spring Boot microservices POCs (Kafka, Hadoop at 2B+ record scale). Built an end-to-end Apple Wallet coupon generation/redemption system using PassKit + Google Apps Script with measurable ops impact (40% efficiency gain).”
Senior AI/ML Systems Architect specializing in cloud-native MLOps and GenAI
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-Level Full-Stack Engineer specializing in AI and 3D computer vision
“Built and productionized an LLM-driven document verification workflow for a construction firm’s submittals process, moving from a Vercel/Next.js prototype to a FastAPI + LangChain/LangGraph backend with background workers and multi-server deployment. Uses LLM tools (e.g., OpenAI Codex/Cloud Code) for rapid development and log-driven root cause analysis, and partners with customer teams on evaluation metrics and iterative improvements.”
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
“JavaScript/Node.js engineer who contributes to open-source utilities focused on API integrations and JSON validation, including a 30–35% throughput improvement by profiling and optimizing deep-clone-heavy code paths. Strong in performance tooling (Node performance hooks, Chrome DevTools flame graphs), incremental/test-driven changes, and community-facing issue triage plus developer-friendly documentation.”
Mid-level Full-Stack Software Engineer specializing in web, mobile, and cloud-native systems
Mid-level Full-Stack Software Engineer specializing in GenAI and SaaS platforms
Mid-Level AI Backend Engineer specializing in Python, LLM/RAG, and healthcare/insurance platforms
“AI Backend Engineer in MetLife’s claims technology group who built and deployed a production LLM-based decision support system that helps claim adjusters quickly find relevant policy rules from long PDFs and historical notes. Designed it as multiple production-grade services with retrieval-first guardrails, continuous validation, and Airflow-orchestrated pipelines for ingestion, embeddings, and vector index updates to keep the system reliable as policies and data evolve.”
Mid-level Full-Stack Software Engineer specializing in cloud, microservices, and AI integration
Mid-Level Full-Stack Software Engineer specializing in cloud, mobile, and GenAI
Mid-Level Full-Stack Software Engineer specializing in healthcare web apps and LLM integrations