Pre-screened and vetted.
Mid-Level Software Engineer specializing in cloud platforms, ML/GenAI, and distributed systems
Mid-level AI/ML Engineer specializing in multimodal and LLM (RAG) systems
Director-level Wireless Software Engineer specializing in 3GPP NAS protocol stacks (LTE/NR)
Intern Computer Vision/ML Engineer specializing in mapping, localization, and scalable inference
Senior Software Engineer specializing in generative AI and full-stack platforms
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems
Mid-level Machine Learning Engineer specializing in GenAI, forecasting, and MLOps
Director-level Software Architect specializing in cloud observability and network monitoring
Intern Software Engineer specializing in AI/ML and full-stack web development
Mid-level Software Engineer specializing in distributed systems and FinTech platforms
Staff Platform/ML Engineer specializing in agentic AI, RAG, and cloud infrastructure
Mid-level Agentic AI & ML Engineer specializing in LLM agents and RAG systems
Intern Backend/Full-Stack Software Engineer specializing in cloud-native web systems
Senior Software Engineer specializing in cloud, data platforms, and LLM/RAG applications
Staff Software Engineer specializing in Unity mobile game development
Senior AI Engineer specializing in healthcare and FinTech AI systems
Junior AI & Software Engineer specializing in robotics and ML infrastructure
“Robotics engineer from UIUC’s Intelligent Motion Lab who led the perception stack for a humanoid robotic nurse, fusing camera/LiDAR/IMU on NVIDIA Jetson Orin for real-time localization and scene understanding across six robots. Deep expertise in ROS 2 and edge ML optimization (TensorRT, CUDA, zero-copy), delivering major latency/throughput gains (10 FPS to 22+ FPS) and building fault-tolerant pipelines with gRPC offloading and real-time reliability practices.”
Senior Software Engineer specializing in cloud cost intelligence and FinOps platforms
“Backend/data engineer with strong authorization and compliance-domain experience: led a phased migration from a simplistic role model to modern RBAC on a Python serverless stack (Auth0 + AWS Lambda/API Gateway), coordinating changes across 5 repos with extensive manual and automated validation. Previously built and operated custom ETL pipelines (Airflow + Groovy/Java on Spark/YARN/Hadoop) to normalize messy customer email/chat/voice data for NLP-driven financial compliance indicators, including complex email journaling metadata enrichment and large-scale remediation reprocessing after production bugs.”