Pre-screened and vetted.
Staff-level Python Backend Engineer specializing in microservices, Kubernetes, and AI/LLM systems
Junior AI/ML Engineer specializing in computer vision, NLP, and generative AI
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and scalable cloud ML
Junior Machine Learning Engineer specializing in fraud detection, KYC, and LLM applications
Mid-Level Full-Stack Software Engineer specializing in microservices and Angular/.NET
Senior Backend/Platform Engineer specializing in security, FinTech, and distributed systems
Mid-level AI Engineer specializing in LLMs, RAG, and cloud-native MLOps
Mid-level ML Engineer specializing in MLOps, data engineering, and GenAI/RAG systems
Mid-level ML Engineer specializing in FinTech risk, fraud, and GenAI RAG systems
Senior AI/ML Engineer specializing in Generative AI, LLMs, and Computer Vision
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Junior Software Engineer specializing in full-stack and data-driven cloud systems
Mid-level AI/ML Engineer specializing in MLOps, fraud detection, and predictive analytics
Mid-Level Full-Stack Software Engineer specializing in cloud, microservices, and AI/LLM systems
Junior Generative AI Engineer specializing in LLM fine-tuning and RAG pipelines
Mid-level Applied AI Engineer specializing in LLMs, Prompt Engineering, and RAG
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise analytics
Junior AI/ML Software Engineer specializing in LLM agents and RAG systems
“AI/back-end engineer at Canon who helped build and operate an internal production LLM platform that acts as a secure middle layer between users and models, defending against jailbreaks/prompt injection while enabling RAG, memory, and grounded responses over company data. Experienced with LangChain/LangGraph orchestration, vector DB retrieval, and reliability practices (testing, monitoring, adversarial prompts) to run high-throughput, low-latency AI workflows in production.”
Mid-level Robotics Software Engineer specializing in ROS2 autonomy and computer vision
“Robotics software engineer from Bigbot who led localization and perception for an outdoor autonomous delivery robot, building ROS2/Nav2-based autonomy with EKF sensor fusion (IMU/odometry/GPS) and perception-driven dynamic costmaps. Experienced taking systems from Gazebo simulation to real-robot deployment, optimizing real-time behavior via logging-driven debugging and latency reduction, and integrating heterogeneous comms (MAVROS/MAVLink, UART/CAN, MQTT) for distributed and multi-robot setups.”