Pre-screened and vetted.
Intern Software Engineer specializing in robotics, autonomous vehicles, and embedded AI
“Robotics software engineer with internship experience at John Deere and AeroVironment, working across C++/Python stacks and ROS2-based systems. Drove a proof-of-concept migration from an x86/FPGA target to NVIDIA GPU solutions and helped turn a hackathon prototype into a production-ready, CI/CD-driven build-and-deploy workflow with comprehensive automated testing.”
Senior Engineering Manager specializing in cloud security and graph-based data platforms
“Engineering leader at Sysdig Secure who pitched and prototyped a model data platform that initially got rejected, then proved value by migrating the CIEM offering and expanding adoption across multiple verticals. Now owns the CIEM suite plus the broader Sysdig Secure data and reporting platforms, manages 14 direct reports, and also leads a pilot AI team while remaining hands-on weekly.”
Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms
“Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.”
Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants
“Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.”
Mid-level Data Scientist specializing in anomaly detection and production ML
“Interned at Backblaze building production AI systems for incident response and security operations, including an internal LLM-powered incident triage assistant that used Snowflake + RAG over historical tickets/postmortems and delivered results via Slack and a web UI. Emphasizes reliability (PII filtering, grounding, schema validation, fallbacks) and rigorous evaluation/observability (offline replay, partial rollouts, time-to-first-action metrics, Prometheus/Grafana).”
Junior Mechanical Engineer specializing in controls, mechatronics, and medical device R&D
“Robotics software lead on a safe human-robot interaction project for search-and-rescue and at-home physical therapy using a Franka Emika Panda, Azure Kinect, and 3D pose estimation. Built ROS-based vision-to-control pipelines that fuse homogeneous transforms with wrench feedback, and implemented max-manipulability/null-space strategies (QP + manipulability Jacobian) to avoid singularities and improve real-time trajectory behavior.”
Senior AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
“ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.”
Executive Unity/XR Engineer specializing in real-time mocap and volumetric streaming
“Technical Director/Unity Lead who has shipped multiple Meta Quest immersive experiences and built custom Unity editor tooling to solve content-heavy pipeline constraints, enabling artists to push content directly into a Unity sandbox. Also prototyped a Unity restaurant simulation where an LLM drives NPC reasoning and state machines, using RAG and memory augmentation to reduce hallucinations and stuck behaviors.”
Executive CTO specializing in AI/ML platforms and enterprise SaaS engineering leadership
“CTO-level leader with deep insurtech and cloud security/SaaS experience who has repeatedly scaled global engineering orgs and delivered high-velocity roadmaps. Most recently led Delos Insurance Solutions to launch new homeowners programs for wildfire-prone regions every 3–4 weeks while meeting DOI/SLA requirements, driving $135M GWP and $250M capacity and reaching cash-flow positive. Also led major scalability re-architecture at CloudPassage (Postgres to Cassandra + Kafka) and built a large Estonia-based engineering hub at Cybercube.”
Senior Full-Stack Python Developer specializing in cloud-native RAG and microservices
Mid-level Program/Product Manager specializing in AI, SaaS strategy, and go-to-market
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems
Senior Full-Stack Engineer specializing in Next.js, React, and TypeScript
Mid-level Data/Software Engineer specializing in healthcare and FinTech analytics
Senior High-Voltage Battery Systems Engineer specializing in EV safety and thermal runaway mitigation
Principal Full-Stack Software Engineer specializing in IoT/IIoT platforms
Mid-level Full-Stack Software Developer specializing in Java microservices and React on AWS
Senior QA Engineer specializing in mobile, API, and test automation
Senior Full-Stack Engineer specializing in cloud-native .NET microservices
Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices
Executive Technology Leader specializing in Financial Services, Payments, and Digital Transformation
Mid-level Game Designer specializing in VR cinematic and technical narrative systems