Pre-screened and vetted.
Junior Embedded Software Engineer specializing in interactive installations and real-time systems
Senior QA/Test Technician specializing in mobile, IoT, and pre-silicon software validation
Mid-level AI/LLM Application Engineer specializing in RAG, agents, and Python/PyTorch
Mid-level Software Systems Engineer specializing in cloud infrastructure and AI applications
Junior AI/ML Engineer specializing in LLMs, automation, and backend data pipelines
Mid-level Full-Stack Developer specializing in React, Node.js, and AI automation
Junior Generative AI Engineer specializing in LLM systems and RAG
Mid-level AI Engineer specializing in LLM agents, RAG, and evaluation
Senior Full-Stack Engineer specializing in Python/Flask, React, and autonomous AI systems
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Mid-Level Full-Stack Engineer specializing in UX-focused web platforms
Intern Software Engineer specializing in cloud infrastructure, DevOps, and AI-enabled systems
Mid-level DevOps/Cloud Engineer specializing in AWS EKS and Terraform
Junior Full-Stack Software Engineer specializing in Python/React and AI-powered web apps
Entry-Level DevOps Engineer specializing in CI/CD automation and cloud infrastructure
Intern Full-Stack Software Engineer specializing in cloud deployment and data analytics
Junior Full-Stack Software Engineer specializing in logistics and IoT systems
Mid-level DevSecOps Engineer specializing in AWS cloud security
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and CI/CD automation
“DevOps/cloud infrastructure engineer focused on AWS automation: built GitHub Actions/Jenkins pipelines for containerized deployments with strong security controls and rollback, and implemented Terraform-based AWS provisioning with modular code and remote state/locking. Has led on-prem to AWS migration cutovers with structured risk/rollback planning and stabilization, but has not worked directly with IBM Power/AIX/LPARs or PowerHA/HACMP.”
Junior AI/ML Researcher specializing in deep learning, computer vision, and LLM applications
Junior Embedded Engineer specializing in microcontrollers, RTOS, and hardware interfacing
“Project lead who restored a 1999 vintage museum robotics exhibit by inventorying and integrating legacy systems, reverse engineering original behavior, and reimplementing it in a modern codebase. Notably optimized Tesseract OCR and machine-vision pipelines to run on a 400MHz Pentium III with 256MB RAM while bringing up and tuning degraded FireWire IIDC cameras using scarce legacy documentation.”