Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps
“Full-stack engineer with experience at HubSpot, Accolite, and an early-stage USC alumni startup (Workup). Built and shipped end-to-end workflow automation features (dynamic input configuration with strict schema validation) driving ~25% faster configuration, and delivered an AI interview customization feature in a high-ambiguity startup setting that increased adoption by ~40%. Comfortable operating production systems on AWS with CloudWatch observability and CI/CD, and has built real-time web apps with caching/indexing for performance.”
Senior Backend & Infrastructure Engineer specializing in cloud-native distributed systems
“LLM infrastructure engineer who built a production-critical real-time personalization and memory retrieval system for a user-facing product, adding <100ms P99 latency while improving relevance ~20–25% and holding SLA through 3x traffic. Experienced designing tiered retrieval backends (Redis + vector store), deploying on Kubernetes with autoscaling/circuit breakers, and running rigorous observability, incident response, and agent evaluation (shadow traffic, A/B tests, regression/replay).”
Senior Software Engineer specializing in AWS data platforms and event-driven systems
“Capital One engineer leading the architecture and delivery of a large-scale AWS Glue/Spark/Delta Lake batch messaging pipeline that decoupled batch from real-time flows, added multi-region failover and automated retries, and delivered ~40% AWS cost savings with ~3x performance gains. Currently building an LLM-powered Slack bot using RAG to automate message investigations by querying CloudWatch, Snowflake, and internal documentation with privacy-aware masking of NPI/PII.”
Mid-level Haptics & VR/AR Researcher specializing in immersive interactive systems
“Built and owned an end-to-end VR surfing simulator in Unity/C#, integrating Arduino inputs, external tracking, and a motion platform with multisensory feedback. Deep focus on VR comfort and control stability (PD control, quaternion-based orientation, latency/jitter mitigation) validated via IMU measurements and 200+ user studies, plus some Unreal gameplay framework and replication/prediction experience.”
Senior Engineering Manager specializing in software quality, automation, and web/mobile platforms
“Engineering leader at Bayer Crop Science leading a Core Platform team responsible for widely used open-source TypeScript/React and mobile SDKs (npm/GitHub) embedded across 10M+ monthly active devices. Known for shipping high-performance, backward-compatible developer frameworks with rigorous release discipline (bi-weekly releases, 99.99% uptime, long streaks of zero breaking changes) and major DX wins (onboarding cut to minutes, support tickets down 82%).”
Intern/Junior Software Engineer specializing in ML, networking telemetry, and full-stack web apps
“Backend-focused engineer with hands-on experience modernizing a legacy SNMP/PNM data collection system at CableLabs into a cloud-accessible Kubernetes pipeline, feeding Prometheus-formatted metrics into VictoriaMetrics and visualizing real-time network health in Grafana for 100+ modems. Also built a FastAPI + Supabase appointment booking portal for a clinic with encryption and phone-number-based auth, and has frontend experience debugging S3-based HEIF image rendering issues.”
Intern Machine Learning Engineer specializing in LLMs, RAG, and search systems
“Built and shipped production improvements to a Paylocity RAG-based AI assistant, redesigning retrieval into a hybrid HNSW + keyword pipeline and using tuned RRF to fuse rankings—cutting latency by ~2s and reducing token usage by ~5000. Previously spearheaded Apache Airflow integration across ETL pipelines at Acuity Knowledge Partners, creating reusable templates and automated triggers to reduce manual job monitoring.”
Director-level Cloud/Platform Engineer specializing in Kubernetes, AI systems, and distributed infrastructure
“Cloud/platform engineering lead with deep Azure AKS and SRE/observability expertise who migrated an EY enterprise SaaS platform from monolith to cloud-native microservices, supporting 10+ products and ~$200M annual revenue with ~99.9% uptime. Also building an open-source Kubernetes-native AI agent orchestration platform (AgScale) in Go with CRDs/controllers, policy/tool governance, token budgets, and production-grade monitoring.”
Junior Robotics Engineer specializing in ROS2 autonomous systems and perception
Mid-level AI Engineer specializing in LLM agents, evaluation pipelines, and microservices
Director-level Technology Leader specializing in IoT, cloud platforms, and wireless networking
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Intern/Junior Software Engineer specializing in backend systems and applied AI
Mid-level Game Audio Designer and Technical Game Designer specializing in AAA and immersive audio
Mid-Level Software Engineer specializing in recommendation and ranking systems
Senior Software Engineer specializing in cloud SaaS and distributed systems
Mid-level ML Research Scientist specializing in computer vision and materials modeling
Intern Full-Stack Software Engineer specializing in AI and web applications
Mid-level Software Engineer specializing in cloud and full-stack web development
Intern AI & Full-Stack Developer specializing in biotech valuation and ML
Mid-Level Software Engineer specializing in backend systems and AI automation
Mid-level QA Engineer and Full-Stack Developer specializing in Apple platforms and ML
Mid-Level Technical Game Designer specializing in gameplay systems and AI