Pre-screened and vetted.
Executive Technology Leader in AI/ML, cloud platforms, and biotech/healthcare data systems
“Engineering leader with experience building point-of-care diagnostics platforms (IoT-connected PCR device delivering results in <15 minutes) and scaling multidisciplinary teams (55+). Has led major data/IoT architecture decisions (multi-cluster Kubernetes with secure routing; Kafka + Gobblin over MQTT) and runs execution with Agile roadmaps tightly aligned to GTM and senior leadership.”
Mid-level Software Engineer specializing in Windows graphics performance and cloud automation
“Graphics software engineer with academic robotics/HRI experience at Oregon State University under Dr. Heather Knight, leading a ROS+Python physical robot and Unity/C# VR system to study how motion/texture/collisions are perceived in VR (2 papers + thesis). Also built ROS-based Wizard-of-Oz TurtleBot study systems and multi-robot coordination experiments, plus industry experience with Docker/Kubeflow ML tooling and Azure DevOps CI/CD automation.”
Junior Embedded/Robotics Engineer specializing in AI diagnostics, simulation, and real-time control
Junior Software Development Engineer specializing in cloud security and CI/CD
“Backend/security-focused engineer supporting a service with 100k+ monthly users. Built an automated load-testing suite that reproduced and mitigated catastrophic host failures from oversized SCP/rsync transfers via host-level throttling, and proposed a future sharding approach for very large transfers. Also created an internal agent to summarize anomalous metrics and provide ready-to-run debug queries, significantly reducing ops review time.”
Junior Machine Learning Engineer specializing in LLM systems and inference reliability
“ML/LLM infrastructure-focused engineer who built a production stateful LLM inference service that cuts latency and GPU compute for repeated/overlapping prompts via caching with correctness guardrails. Strong in Kubernetes-based deployment and reliability engineering, using A/B testing and similarity-based evaluation to quantify performance gains without sacrificing output quality.”
Junior Software Engineer specializing in LLM agents and AWS backend systems
“Built and owned the end-to-end architecture for a Quick Flows “research card” backend at AWS, using an event-driven AWS stack (SNS/SQS, DynamoDB, S3) to support asynchronous research output processing and status tracking. Emphasized maintainability via unit tests, smoke tests, and CI/CD with staged environments (devtest and gamma).”
Senior Data Scientist specializing in machine learning, NLP, and MLOps
“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”
Director-level Engineering Leader specializing in Cloud Security and Data Platforms
“Engineering leader in cloud security at SysTech with player-coach experience spanning cross-team data/ownership standardization and reporting platform user-journey improvements. Stays technically deep through observability (SLA/SLOs, dashboards, alerting), rigorous code reviews (including AI-assisted coding), and end-to-end incident ownership in IAM/agentless cloud event collection. Targeting $270K–$300K base plus bonus/equity.”
Principal Backend/Platform Engineer specializing in GenAI agent orchestration and LLM pipelines
“LLM-focused engineer/sales-engineering profile with hands-on experience productionizing complex systems: scalable distributed architecture, multi-tenant monitoring, canary/shadow rollouts, and robust fallback strategies. Demonstrated real-time troubleshooting depth (p99 latency spikes traced to DB connection limits causing retry storms) and strong developer-facing communication via RAG workshops and live, customer-specific demos that helped close deals quickly.”
Junior Security Engineer specializing in LLM-based incident response and on-chain threat intelligence
Junior Software Engineer specializing in distributed systems, cloud, and data infrastructure
Intern Software Engineer specializing in full-stack development and machine learning
Senior Software Engineer specializing in game development and 3D/AR/VR systems
Senior Applied Scientist specializing in LLMs, GenAI, and agentic systems
Director of Engineering specializing in capital markets risk, trading systems, and AI/ML platforms
Mid-level Software Development Engineer specializing in AWS cloud and full-stack systems
Junior Robotics Engineer specializing in semantic navigation and computer vision
Entry-Level Software Engineer specializing in full-stack web and AWS microservices
Mid-level Software Engineer specializing in cloud platforms and distributed backend systems
Mid-level Machine Learning Engineer specializing in real-time fraud detection and edge AI
Intern Full-Stack Software Engineer specializing in LLM-integrated web apps and microservices
Senior Software Engineer specializing in cloud payments, cryptography, and low-latency systems
Senior QA/Test Engineer specializing in cross-platform testing and identity, automotive, and consumer apps