Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in React and TypeScript
“Builder of an early-stage community marketplace, Cirkle, where they combined product and engineering ownership to ship core marketplace, membership, chat, and AI-assisted listing features. Particularly strong in pragmatic AI product development, using multiple LLMs, structured outputs, validation, and analytics to create production-ready user experiences.”
Entry Python Backend Engineer specializing in AI automation and scalable APIs
“Built a solo full-stack equipment manager app for the game Dragon's Dogma, scraping a wiki with Beautiful Soup, transforming data to JSON, modeling armor/weapon schemas, and integrating everything into a PostgreSQL-backed API with caching. Dockerized and deployed the application to the web.”
Mid-level AI Software Engineer specializing in LLM agents and RAG systems
Entry-Level Software Engineer specializing in backend services and applied ML
Junior Backend & Cloud Engineer specializing in AWS and scalable systems
Intern Full-Stack Software Engineer specializing in AI-powered applications
Entry Backend Software Engineer specializing in Python/FastAPI and cloud-native APIs
“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”
Mid-level Backend/Agentic AI Engineer specializing in GenAI automation and RAG systems
“Built and shipped a production AI-driven privacy automation system that autonomously navigates data broker sites to submit opt-out/data deletion requests end-to-end, including robust CAPTCHA detection/solving (e.g., reCAPTCHA/hCaptcha/Cloudflare) via 2Captcha. Experienced in orchestrating stateful LLM agent workflows with LangGraph and hardening them for production with strict state management, retries/fallbacks, validation layers, and database-backed observability/audit logs, collaborating closely with legal/compliance stakeholders.”
Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI
“Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).”
Senior Unity & Backend Systems Engineer specializing in multiplayer mobile games
“Unity/mobile multiplayer developer who shipped Dark Shooter on Google Play, a distinctive PvP game built around darkness, flashlight-based discovery, and 23 powerups. Beyond gameplay programming, they also built or coordinated substantial backend infrastructure using FastAPI, Socket.io, PostgreSQL, and PgBouncer, and have project management exposure on a blockchain-integrated Unity game using Nethereum and Thirdweb.”
Junior AI/ML Engineer specializing in LLM systems and personalization
“Backend engineer who built and scaled AmazonProAI, a multi-tenant SaaS platform for Amazon sellers, using a modular Django/DRF monolith with strict seller-level isolation and security controls. Led a controlled SQLite-to-PostgreSQL migration and hardened bulk Excel ingestion with idempotency and data integrity constraints to prevent duplicate metrics and noisy alerts while keeping the system ready for future service extraction.”
Mid-Level Software Engineer specializing in cloud data platforms and CI/CD
“AI/LLM engineer who has owned end-to-end production delivery of multi-agent RAG systems on Azure (React + FastAPI + data pipelines + Terraform), including rigorous evaluation/monitoring and reliability guardrails. Shipped an AI-driven observability root-cause analysis assistant that reduced MTTR ~30%, cut alert noise ~20%, and reached ~70% adoption in the first month; also built a clinical document Q&A system with citations and compliance-oriented controls.”
Mid-Level Full-Stack Developer specializing in Python/FastAPI and React
Entry-level Generative AI Developer specializing in LLM agents and RAG systems
Junior Full-Stack Software Engineer specializing in React/Next.js and TypeScript
Junior Software Engineer specializing in performance, scalability & optimization
Junior Software/AI Engineer specializing in GPU-accelerated HPC and machine learning
Entry-level Software Engineer specializing in game development and backend systems
Intern AI Engineer & Data Scientist specializing in GenAI, LLMs, and RAG
“Currently working at CBS Lab in Austria, where they implemented/replicated the "Open World Grasping" research pipeline end-to-end. Built a ROS-based RGB-D perception-to-action system using SAM 2.1 segmentation and MoveIt motion planning to generate grasp poses and execute pick-and-place/sorting with a robotic arm.”
Junior Machine Learning Engineer specializing in Agentic RAG and Document AI
Junior Software Engineer specializing in full-stack and systems development
“Backend-focused developer who built LinguaTile (language learning app) on a FastAPI + MongoDB monolith deployed to Google Cloud Run, emphasizing async performance and security (RBAC/JWT, rate limiting, request tracing). Also created Mark-RS, a static HTML generator with a 100% CommonMark-compliant Markdown parser, demonstrating strong edge-case rigor and systems robustness.”