Pre-screened and vetted.
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications
Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications
Executive engineering leader specializing in SaaS platform architecture
Director-level Engineering Leader specializing in scalable cloud platforms and real-time AI systems
Senior Machine Learning Engineer specializing in Generative AI and MLOps
Senior Full-Stack Software Engineer specializing in AI and healthcare applications
Senior Full-Stack Engineer specializing in Python back-end systems and scalable web apps
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Mid-level Full-Stack Engineer specializing in web, mobile, AI, and blockchain
Senior Full-Stack Engineer specializing in Python, React, and cloud-native AI features
Entry-Level AI Engineer specializing in NLP and LLM-powered applications
“AI engineer who built an agentic, production-deployed LLM workflow for tobacco violation parsing and automated multi-case creation, using six specialized agents and a human-in-the-loop confidence-threshold routing design. Addressed data privacy constraints by generating synthetic datasets with LLM prompting, and orchestrated reproducible end-to-end pipelines in LangChain with robust testing and evaluation (precision/recall, micro-F1).”
Mid-level Software Engineer specializing in Generative AI and scalable backend systems
“Backend/AI engineer with production experience in legal tech: built a high-scale licensing/subscription API (FastAPI/Postgres/Stripe) and shipped a RAG-based chatbot for an eDiscovery platform. Designed a robust legal document ingestion workflow that processes thousands of documents into a searchable vector index with clear retry/escalation logic, and has demonstrated measurable Postgres performance wins (200ms to 10ms) using EXPLAIN ANALYZE and composite indexing.”
Intern Software Engineer specializing in AI, cloud, and backend systems
“Candidate has internship and graduate-project experience building AI agents, including a production log-analysis assistant using a lightweight agentic/RAG-style workflow with local GPT training and validation against historical logs. They also worked on Android/iOS game build and release processes in a Unity-based robot racing game environment, and highlight measurable LLM outcomes including 80% analysis accuracy, 2-5 second latency, and 50% cost reduction.”
Junior Full-Stack Engineer specializing in AI-powered web applications
“Startup-focused engineer who has shipped Python backend features, AI integrations, and Playwright automation for products including an AI coaching platform and hiring workflow tools. Stands out for working through ambiguous zero-spec environments, hardening flaky Firebase-authenticated test flows, and designing practical fallback paths when AI outputs are unreliable.”
Junior Software Engineer specializing in AI, full-stack development, and applied ML
“AI/full-stack product builder who has shipped production agentic systems in both customer support analytics and medical claims automation. They combine React/Next.js frontends with Python-based async backends and LLM orchestration, delivering measurable outcomes like 60% cost savings, 40% less manual review, and reducing claims processing from 30 minutes to 20 seconds.”
Mid-level Backend Engineer specializing in FinTech infrastructure
“Backend-leaning fintech engineer who led a small pre-seed team building cross-border remittance and payment API products. Brings a mix of technical leadership, customer-facing product discovery, and hands-on experience with scalable payment infrastructure, compliance integrations, and cloud deployment on AWS.”
“Full-stack/backend engineer with startup-style experience spanning healthcare and B2B infrastructure SaaS. Has worked across Python, Go, and React/TypeScript, including migrating services from Node.js to Go, building microservices and dashboards, and delivering measurable API performance gains through database tuning and Redis caching.”