Pre-screened and vetted.
Junior AI/ML Engineer specializing in LLMs, RAG, and applied NLP
Mid-level Software Engineer specializing in IoT, robotics, and secure edge-to-cloud systems
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and Computer Vision
Junior AI/LLM Engineer specializing in voice agents, RAG, and robotics systems
Entry-Level Software Developer specializing in backend systems and robotics middleware
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Intern Machine Learning & Computer Vision Engineer specializing in 3D reconstruction
Mid-level GenAI Engineer specializing in AI agents and FinTech platforms
Junior Software Development Engineer specializing in Python backend and Generative AI
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and AI/ML APIs
Junior Software Engineer specializing in computer vision and LLM-powered systems
Mid-level Database Developer specializing in SQL, ETL, and cloud data platforms
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Intern Software Engineer specializing in cloud infrastructure, DevOps, and AI-enabled systems
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Intern Full-Stack Software Engineer specializing in Node.js, AWS, and scalable backend systems
Entry-Level Full-Stack Engineer specializing in backend APIs and cloud architectures
Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG
“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”
Junior Computer Engineer specializing in machine learning and computer vision
“Software engineer with hands-on hardware/software crossover work: led an EMG circuit project using PSpice simulation and MATLAB-based data processing. Also contributed to an agriculture research computer-vision effort (hens/eggs tracking), building a PyTorch inference program and boosting model accuracy by ~10–20%, plus limited ROS 2 Humble exposure on an autonomous EV model with LiDAR/camera detection.”
Junior Robotics Software Developer specializing in embedded systems and ROS2
“Robotics engineer who built an educational/research robotic arm end-to-end, including IK/FK math, simulation-based validation, and ROS2 Humble integration with multiple teleoperation inputs (DualSense and Leap Motion). Also optimized a resource-constrained ESP32-S3 wireless maze robot to stream real-time video and sensor data over WiFi using TCP/HTTP with RTOS-based concurrency and binary struct packing.”
Mid-level AI Solutions Consultant specializing in enterprise and government AI delivery
“Analytics and automation candidate with experience delivering data and AI solutions for major public-sector and enterprise clients including STC, Abu Dhabi Ports, and the Ministry of Culture. They combine SQL, Python OCR pipelines, dashboards, and cloud LLMs to turn messy unstructured data into scalable workflows, with reported impact including 70% faster document processing and 80-85% reduction in manual resume screening.”
Entry-level AI Engineer specializing in automation and ML platforms
“Built a production Python lead intelligence pipeline that combined external APIs, website crawling, and automated opportunity brief generation, with strong emphasis on reliability, observability, and recovery. Also has hands-on Playwright experience hardening flaky, dynamic web automations and reducing intermittent failures to under 5% through logging, screenshots, session management, and retry strategies.”