Pre-screened and vetted.
Senior Full-Stack Engineer specializing in backend systems and AI applications
“Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.”
Senior AI/ML Engineer specializing in computer vision, NLP, and enterprise ML systems
“ML/AI engineer with hands-on ownership of production computer vision and GenAI systems, spanning real-time public safety video analytics and RAG-based knowledge assistants. Stands out for translating research-oriented approaches into scalable, monitored production systems with clear business impact, including 50% latency reductions, 25% faster response times, and 40% lower document search time.”
Senior strategy and operations leader specializing in FinTech, media, and investment strategy
Staff Software Engineer specializing in agentic AI and conversational systems
Director-level Engineering & AI Product Leader specializing in GenAI and cloud platforms
Senior Backend Engineer specializing in Healthcare & Cloud Platforms
Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation
Entry Controls Engineer specializing in industrial automation, PLCs, robotics, and SCADA
Senior Data Engineer specializing in cloud data platforms and large-scale ETL
Senior Data Scientist specializing in Generative AI and conversational AI
Senior Backend Software Engineer specializing in AWS serverless and data pipelines
Executive engineering leader specializing in AI-driven SaaS, healthcare IT, and platform modernization
Junior Software Development Engineer specializing in backend data platforms and LLM applications
“Amazon internship experience building and shipping an end-to-end NL-to-SQL system: ingested/normalized metadata across 60+ internal tables, added rigorous multi-layer validation for LLM-generated SQL, and served it via a FastAPI backend for engineers—driving 90%+ faster dataset discovery and ~70% lower effort to access data. Also built an early-stage RAG-based healthcare assistant, iterating on chunking, embeddings, and retrieval to improve answer quality post-launch.”
Intern Machine Learning Engineer specializing in vision-language models and robotics
“Robotics software engineer with hands-on experience building a vision-guided grasping pipeline on a 7-DOF Franka arm, implementing gradient-based IK with null-space optimization and RRT* motion planning in ROS1. Strong in sim-to-real deployment and real-world debugging—addressed frame misalignment via hand-eye calibration and centralized TF configuration, and reduced replanning/jitter by tuning a weighted pose filter using rosbag replay and variance/grasp-time metrics. Also built an ESP32-based mobile robot architecture combining embedded decision-tree control with WiFi/web high-level commands.”
Executive engineering leader specializing in enterprise software and hardware-software systems
“Senior engineering leader with experience at ActiveProspect, Broadlume, and Zume, leading multidisciplinary orgs across growth and M&A while standardizing delivery, architecture, and quality practices. Stands out for combining executive-level roadmap, budget, and compliance ownership with hands-on prototyping and architectural intervention on mission-critical platforms, including AI-enabled testing and quality systems.”
Mid-level Software Engineer specializing in autonomous vehicle operations and test automation
“Hands-on Python/IoT engineer with experience spanning research labs and autonomous vehicles (Zoox), focused on making data/decision-support systems reliable in production. Has deployed and Dockerized Python tools with pinned dependencies, built sensor-based on-prem data collection systems (aquafeed evaluation), and troubleshot telemetry issues down to a failing switch port using logs, multimeter checks, and network diagnostics.”
Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems
“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”
Mid-Level Backend Engineer specializing in AWS serverless and data processing
“Amazon Prime Video backend engineer who built and operated high-traffic Python/FastAPI services and AWS-native data/batch systems. Demonstrates strong production reliability and incident ownership (CloudWatch/X-Ray), plus measurable performance wins (8s to <200ms query latency, ~40% CPU reduction) and cost-focused architectures (Lambda + ECS/Fargate with Fargate Spot).”
Mid-level Software Engineer specializing in cloud platforms and distributed backend systems
Mid-level Software Engineer specializing in FinTech and cloud-native microservices
Mid-Level Systems Software Engineer specializing in distributed databases and data infrastructure