Pre-screened and vetted.
Director-level Engineering Manager specializing in data platforms and AI infrastructure
Senior Software Engineer specializing in mobile games, backend systems, and applied AI
Senior Software Engineer specializing in backend, data pipelines, and AWS cloud-native microservices
Mid-level Software Development Engineer specializing in distributed systems and GenAI
Senior Python/ML Engineer specializing in LLM-powered backend systems
Junior Test/QA Engineer specializing in hardware validation and automation
Mid-Level Full-Stack Software Engineer specializing in Java/Spring and .NET
Junior Full-Stack Software Engineer specializing in ML, cloud infrastructure, and LLM agents
Intern Software Engineer specializing in cloud, backend systems, and LLM-powered tooling
Senior Software & Data Engineer specializing in cloud platforms and streaming data
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI risk scoring
Junior AI Product Engineer specializing in LLM workflows and analytics automation
Executive Engineering Leader specializing in Telehealth Platforms and Healthcare IT
Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms
“Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.”
Mid-level Software Engineer specializing in LLM agents and full-stack systems
“At Esri, the candidate is building a production LLM-powered WebGIS AI framework that embeds an AI assistant into web maps and routes natural-language requests into ArcGIS JavaScript SDK functions via a LangGraph-orchestrated, multi-agent system. They emphasize production reliability and scale (strict tool calling/JSON, live schema validation, query guardrails) and rigorous evaluation/observability using LangSmith, offline prompt datasets, and latency/tool-call accuracy tracking.”
Intern Data Scientist / Software Engineer specializing in ML, computer vision, and cloud
Junior Software Engineer specializing in full-stack web and Android development