Pre-screened and vetted.
Principal AI Platform Architect specializing in agentic AI and enterprise LLM infrastructure
Principal AI Engineering Leader specializing in ML, computer vision, and signal processing
Entry Software Engineer specializing in distributed systems and AI applications
Senior Machine Learning Engineer specializing in computer vision and healthcare AI
Staff Machine Learning Engineer specializing in MLOps, cloud AI, and generative AI
Intern Robotics Engineer specializing in autonomous navigation and robot integration
Executive AI Engineering Leader specializing in research-to-production LLM systems
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications
Senior Data Scientist specializing in GenAI, LLMs, and Analytics Engineering
Entry-level Software Engineer specializing in data pipelines and applied AI
“Backend engineer with experience in both regulated healthcare and finance: built a multi-agent RAG system to generate FDA regulatory approval documents for biomedical devices, improving retrieval accuracy via hybrid search (semantic + BM25) and hierarchical chunking. Previously at JPMorgan Chase, led a Java microservice refactor and AWS migration using Elasticsearch-first patterns, caching, and safe rollout strategies (parallel runs, canary, blue-green) in asset/wealth management.”
Senior XR & Unity Developer specializing in immersive games and interactive experiences
“Unity developer with hands-on VR experience focused on “game feel,” enhancing immersion by adding touch-reactive visuals, custom haptics, and spatialized binaural interaction audio in collaboration with an audio team. Has recent multiplayer experience using Unity Netcode and uses AI tools for code review and rapid upskilling (e.g., reactive programming). Seeking a fully remote role with compensation around €60–70k.”
Junior Robotics Perception Engineer specializing in autonomous navigation and robot learning
“Robotics software/perception engineer with production AMR experience at Symbotic, building a real-time SKU case re-identification pipeline used in high-volume Walmart/Target warehouse operations. Strong in ROS2 + Docker deployments on Jetson (TensorRT quantization) and system-level performance debugging, including cutting inference latency from ~13s to ~2s through architecture changes. Also has lab experience integrating SLAM/MPPI/behavior trees for rule-compliant navigation and distributed perception-to-UR5e manipulation systems (MoveIt/ros_control) with multi-camera sensing and 3D reconstruction.”