Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in web, mobile, and AI applications
Intern AI/Software Engineer specializing in LLM agents and full-stack automation
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI risk scoring
Intern Software Engineer specializing in systems programming and game development
Intern Software Engineer specializing in FinTech and AI platforms
“Systems-focused engineer who built an OS kernel with multithreading, priority scheduling, system calls, and synchronization primitives, and debugged race conditions end-to-end. While not yet hands-on with ROS/SLAM, they clearly connect low-level concurrency and scheduling decisions to deterministic, reliable robotics-style real-time workloads.”
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 Software Engineer specializing in distributed systems and backend infrastructure
“Backend engineer with deep experience building event-driven logistics systems (orders, warehouse execution, real-time delivery tracking) using Spring Boot/PostgreSQL/Redis and strong observability (Prometheus/Grafana). Led a zero-downtime migration from monolithic MySQL to a sharded architecture for ~2M users with dual-write, checksum validation, and fast auto-rollback, and has strong security expertise including PostgreSQL RLS for multi-tenant SaaS and robust OAuth/JWT handling.”
Intern Software Engineer specializing in systems and full-stack web development
“Open-source contributor to a JavaScript visualization library who focused on runtime/rendering performance—eliminating unnecessary full redraws via memoization and diff-based updates validated with Chrome profiling. Also strengthened the project’s developer experience by adding TypeScript definitions, writing practical documentation, building minimal example apps, and handling community issues with reproducible debugging and public fixes.”
Intern Data Scientist / Software Engineer specializing in ML, computer vision, and cloud
Mid-level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Intern Software Engineer specializing in cloud data platforms and full-stack systems
Junior Software Engineer specializing in full-stack development and data engineering
Mid-Level Full-Stack Software Engineer specializing in cloud, security, and distributed systems
Mid-Level Software Engineer specializing in cloud-native backend and LLM/RAG systems
Intern Software Engineer specializing in cloud infrastructure and distributed systems
Junior Software Engineer specializing in full-stack web and Android development
Intern AI/ML Engineer specializing in data science, NLP, and reinforcement learning
Mid-level Site Reliability Engineer specializing in Kubernetes observability and cloud infrastructure
Intern AI/Data Science Engineer specializing in LLM agents, data engineering, and predictive analytics