Pre-screened and vetted in the Chicago Metro.
Mid-level AI Engineer specializing in LLM apps, RAG pipelines, and agentic workflows
Mid-level Data Scientist/MLOps Engineer specializing in NLP, GenAI, and cloud ML platforms
Senior AI/ML Engineer specializing in Agentic AI, RAG, and LLM systems
Mid-level AI/ML Engineer specializing in NLP, GenAI, and fraud/risk analytics
Junior AI Engineer specializing in distributed ML pipelines and time-series forecasting
Mid-level Machine Learning Engineer specializing in healthcare and enterprise analytics
Mid-level Automation & Robotics Engineer specializing in industrial controls and computer vision
“Robotics software engineer with hands-on experience building an AGV for warehouse autonomy at Kick Robotics, working across SLAM, waypoint navigation, computer vision, and ROS2/RViz simulation. Demonstrated strong on-site troubleshooting by diagnosing a real-world mapping stall via log analysis (coordinate reset bug) and deploying a fix. Also has industrial automation experience coordinating SCARA robots via EtherNet/IP and multi-robot/swarm simulations using MQTT pub-sub.”
Intern AI Engineer specializing in LLMs, NLP, and conversational search
“Student building a production trip-planning LLM agent (LangChain + Streamlit) that routes user queries across multiple tools (maps/places/Wikipedia). Implemented zero-shot multi-label intent detection with priority rules to handle multi-intent requests, and collaborates with a startup product manager to shape tone, features, and user experience.”
Director-level Technology Executive specializing in enterprise architecture, cloud platforms, and GenAI
Junior Machine Learning Engineer specializing in AI automation and LLM workflows
Junior AI Engineer specializing in RAG systems and full-stack development
Junior AI Engineer specializing in LLM evaluation, prompt engineering, and AI orchestration
“LLM workflow builder who has deployed a personalized GPT experience (including Delphi AI-based knowledge ingestion) and built a LangChain/LangGraph job-aggregation pipeline that ingests, normalizes/dedupes, filters, then uses an LLM to rank and summarize matches. Emphasizes production reliability with structured outputs, retries/fallbacks, metric-driven evaluation, logging/prompt versioning, and A/B testing, and collaborates with non-technical stakeholders through demo-driven iteration.”
Junior Machine Learning Engineer specializing in real-time inference and production ML systems
Entry Machine Learning Engineer specializing in LLM agents and AI workflow deployment
Junior Software Engineer specializing in C++ systems, HPC backends, and ML infrastructure
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems