Pre-screened and vetted.
Mid-level AI Engineer specializing in LLM agents, RAG, and evaluation
Junior Full-Stack Software Engineer specializing in Python/React and AI-powered web apps
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Mid-level Software Engineer specializing in Python automation and GenAI on AWS
Intern Full-Stack Software Engineer specializing in cloud deployment and data analytics
Mid-Level Full-Stack Software Engineer specializing in web apps and AI-powered tools
Mid-level Full-Stack AI Engineer specializing in agentic AI and RAG systems
Intern Software Engineer specializing in backend, AI, and full-stack web systems
Mid-level Software Engineer specializing in backend APIs and full-stack web apps
“Frontend/full-stack engineer who has built and scaled multiple national/government platforms in Ethiopia, including an unemployment registration system and a national ID (Fayda) admin/billing dashboard handling contracts, tariffs, inventory, and high-concurrency billing workflows. Strong in React/TypeScript architecture (atomic design, Context/hooks, strict typing) and in integrating identity verification/biometrics-driven business logic with phased rollouts and audit-driven iteration.”
Junior Full-Stack Engineer specializing in AI-powered web applications
“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”
Entry-level Software Engineer specializing in backend and AI integration
“Built and shipped an LLM-powered crypto price tracking and alert agent in a web environment that scaled to roughly 10,000 users. The candidate emphasizes production reliability, structured outputs, and data normalization, and cites strong product impact including retention growth from 35% to 65% and roughly 95% positive user validation on alert interpretations.”
Mid-level Software Engineer specializing in AI automation and backend systems
“Hands-on automation and QA-focused developer using AI agents, MCP tools, and LLMs to streamline business workflows. Built agents for automated Jira bug logging, executive summary dashboards, and a rule-explainer that translates technical business rules into plain language for end users, while also supporting Selenium-to-Playwright migration and guiding peers on AI implementation.”
Entry-level AI Engineer specializing in automation and ML platforms
“Built a production Python lead intelligence pipeline that combined external APIs, website crawling, and automated opportunity brief generation, with strong emphasis on reliability, observability, and recovery. Also has hands-on Playwright experience hardening flaky, dynamic web automations and reducing intermittent failures to under 5% through logging, screenshots, session management, and retry strategies.”
“Early-career full-stack engineer who has not yet shipped a professional customer-facing product but has built sophisticated AI-driven systems in personal/academic work, including a multi-tenant AI knowledge base (async ingestion, pgvector semantic search, SSE real-time updates, knowledge graphs) and an AI-powered code review assistant designed to process thousands of jobs via Redis/BullMQ.”
Entry-Level Full-Stack AI Engineer specializing in RAG pipelines and enterprise SaaS
Entry-level Software Engineer specializing in AI/ML and full-stack systems