Pre-screened and vetted.
Senior Software Engineer in Test specializing in QA automation and AI-driven testing
Staff Full-Stack & AI Engineer specializing in LLM agents, RAG, and cloud-native systems
Senior Software Engineer specializing in GenAI, RAG, and multi-tenant SaaS platforms
Staff Full-Stack Software Engineer specializing in AI-driven platforms
Staff Software Engineer specializing in XR, graphics, and volumetric video
Technology Executive specializing in AI-native engineering and cybersecurity governance
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Mid-level AI Engineer specializing in LLM applications and enterprise automation
“Engineer with a notably mature AI-native development process: uses Claude/Claude Code in a test-first, iterative workflow and has led multi-agent builds across frontend, backend, and testing. Most notably, they led development of an AI voice agent platform, creating custom agent skills and enforcing clear architectural boundaries to deliver a stable, scalable system.”
Junior Software Engineer specializing in full-stack and AI systems
“Backend-focused engineer with end-to-end ownership experience on internal platforms at John Deere, including a workforce and skills system that cut manual review time by 40%. Brings a strong reliability and compliance mindset across Java/Python microservices, AWS infrastructure, and production operations, and has also built an LLM-powered RAG system over 1M+ records with emphasis on grounded outputs and observability.”
Mid-level Robotics Software Engineer specializing in perception and motion planning
“Robotics software engineer focused on ROS2 motion and calibration systems—built a trajectory generator/low-level controller using TOPPRA that improved robot motion speed by 11x while increasing accuracy. Experienced making high-frequency robot communication more real-time (core isolation) and shipping ROS2 modules via Docker-backed CI/CD, including serving as release manager coordinating reviews, release notes, and QA.”
Executive Technology Leader specializing in cloud-native platforms and AI
“Building a confidential startup in the software security space (no capital raised yet). Has been learning the VC/accelerator landscape through a network of founders and independent research, with a focus on investor readiness and relationship-driven access to VCs. Motivated to found due to repeated layoffs and late-stage hiring pauses, seeking more control while prioritizing family financial stability.”
Intern Machine Learning Engineer specializing in LLMs, RAG, and search systems
“Built and shipped production improvements to a Paylocity RAG-based AI assistant, redesigning retrieval into a hybrid HNSW + keyword pipeline and using tuned RRF to fuse rankings—cutting latency by ~2s and reducing token usage by ~5000. Previously spearheaded Apache Airflow integration across ETL pipelines at Acuity Knowledge Partners, creating reusable templates and automated triggers to reduce manual job monitoring.”
Executive Technology Leader specializing in AI, Data Platforms, and FinTech
Mid-level Software Engineer specializing in cloud and full-stack web development
Executive engineering leader specializing in FinTech, blockchain, and AI
Mid-level Data Scientist specializing in GenAI, NLP, and agentic RAG systems
Senior Software Engineer specializing in cloud-native microservices and real-time data pipelines
Intern Software Engineer specializing in cloud, DevOps, and LLM-powered tooling
Staff Software Engineer specializing in full-stack platforms and cloud-native microservices
Senior Full-Stack Engineer specializing in cloud-native SaaS platforms
Junior Software Engineer specializing in full-stack, cloud, and AI systems