Pre-screened and vetted.
Junior Software Engineer specializing in backend AI systems
Junior Full-Stack Engineer specializing in AI workflows and data products
Senior Software Engineer specializing in Python backend, microservices, and cloud/DevOps
Senior Full-Stack Software Engineer specializing in Python/Django, React, and AWS
Mid-Level Software Engineer specializing in backend, SaaS, and AI integrations
Mid-level Generative AI Engineer specializing in RAG systems and AI-powered education tools
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level XR Engineer specializing in Unity, OpenXR, and AI-driven interaction systems
Senior Backend Engineer specializing in cloud-native microservices and AI integrations
Senior Frontend React Developer specializing in scalable web applications
Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications
Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications
Senior Machine Learning Engineer specializing in Generative AI and MLOps
Mid-level Frontend Developer specializing in React and Next.js
“Frontend engineer who has built and owned products end-to-end, including a healthcare app with live video monitoring and a stock market dashboard. Emphasizes scalable UI architecture via reusable components and shared schemas, plus performance/SEO improvements using Lighthouse and modern loading/minification techniques. Has experience shipping time-sensitive features like payment integrations with continuous QA support.”
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.”
Junior Software Engineer specializing in AI, voice, and full-stack product engineering
“Product-minded full-stack engineer from SuperU who built AI voice-agent infrastructure end-to-end, from React/TypeScript campaign UIs to a forked n8n orchestration backend and Postgres multi-tenant data model. Stands out for shipping quickly in ambiguous startup environments, debugging deep reliability issues across layers, and delivering measurable gains like activation rising from 20% to 70%+ and call drops falling below 0.5%.”
Mid-level AI Engineer specializing in agentic systems and enterprise LLM platforms
“Current AI engineer at a startup who has spent the last year architecting multi-agent systems for software development workflows. Stands out for combining LLM speed with engineering discipline—using tools like Pydantic, LangGraph, and LangChain to build reliable, production-ready agent workflows with validation, routing, and retry logic.”