Pre-screened and vetted in California.
Junior Software Engineer and Data Scientist specializing in AI/ML systems
“Built production-grade automation and ML/data pipelines at Dun & Bradstreet and ThreadNotion, spanning large-scale document classification, country risk report automation, and resilient Playwright testing for dynamic AI chat workflows. Particularly strong in turning brittle or ambiguous systems into reliable, observable, end-to-end automated platforms.”
Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
“Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.”
Staff Product/UX Designer specializing in enterprise platforms, data visualization, and AI interfaces
“UX/product designer with deep healthcare and mission-critical software experience across 3M Healthcare, GE Healthcare, and Motorola. Has designed complex lab automation and radiology workflows end-to-end, combining rigorous field research with hands-on engineering (HTML/CSS/TypeScript/React, Storybook) and even building live prototypes (Firebase + Angular) and production-ready UI control libraries to ship.”
Junior Software Engineer specializing in identity and backend systems
“Sole engineer on a large-scale authentication migration moving 350+ tenants from password-based auth to OAuth 2.0 client credentials, delivering zero downtime, full adoption, and no support tickets. Also has early hands-on experience with agentic LLM proof-of-concepts and has built structured workflow tooling to reduce ambiguity in customer-to-engineering handoffs.”
Senior Unity VR/AR Developer specializing in XR platforms and immersive applications
“Unity/C# gameplay engineer with hands-on ownership of a full VR combat system at Bad Honey Bun Games, spanning movement, combat, health, audio, lighting, and branching level flow. Shipped a Meta Quest demo that reached 10k downloads in its first month while sustaining 72+ FPS, and also brings Photon PUN2 multiplayer experience from simulation work in the oil and gas sector.”
Senior Software Engineer specializing in Python backend systems on AWS
“Backend/data engineer from ASML who modernized a legacy SAS-based statistical processing system into a cloud-native AWS platform (Lambda/FastAPI, Step Functions/EventBridge, Glue, S3/RDS) with strong reliability and data-quality practices. Demonstrated measurable performance wins (RDS query reduced from 90+ seconds to <5 seconds) and hands-on incident ownership for production ETL pipelines.”
Director-level Engineering Manager specializing in platform engineering, CI/CD, and developer productivity
“Senior Engineering Manager with a player-coach style who stays technically engaged through heavy code reviews and pair programming. Led prioritization and stakeholder alignment for a scalable, resilient feature-flag evaluation service with strict sub-50ms latency goals, including a major caching-strategy redesign and incremental rollout approach. Experienced in incident response/retrospectives and in coaching engineers toward improved performance and promotions.”
Executive AI engineering leader specializing in agentic AI and enterprise platforms
“Bay Area engineering leader and startup co-founder with a rare mix of deep hands-on architecture experience, large-scale people leadership, and cross-functional product ownership. He helped launch GE Digital's industrial IoT efforts, holds multiple patents in the space, has scaled teams to 60-70 people, and has led both enterprise platform modernization and AI startup product development.”
Junior Software Engineer specializing in Edge AI and ML deployment
“Qualcomm engineer building Android applications that run on Qualcomm AI accelerators, with hands-on experience in C++ concurrency, chipset stress testing, and power/performance tuning. Has deployed on-device AI models and built deployment/log post-processing workflows using Docker/Kubernetes and CI/CD; interested in translating this embedded AI/performance background into robotics (perception/real-time systems).”
Junior Full-Stack Engineer specializing in web applications and backend systems
“Software engineer at Paradigm who is deeply hands-on with agentic development workflows and AI-assisted coding. He built an in-house OAuth layer to replace a third-party service and reduce projected integration costs, and also created an "ambient agent" that proactively responds to user behavior on the website. He stands out for combining full-stack architecture thinking with a disciplined, model-aware workflow for designing, implementing, and reviewing AI-generated code.”
Director of Engineering specializing in AI/ML platforms and cloud systems
“Senior engineering leader from IBM who has built and scaled enterprise AI/GenAI platforms across hybrid and multi-cloud environments, combining executive-level org leadership with hands-on debugging of production distributed systems. Particularly compelling for Director/VP roles needing someone who can unify architecture, platform strategy, and engineering execution across multiple teams.”
Mid-level Software Engineer specializing in FinTech and full-stack platforms
“Built a kitchen capacity management system for merchants, owning deployment through stabilization and continuously tuning capacity based on fulfillment and cancellation outcomes. Also designed customer-support decision workflows for refunds/credits with a focus on fraud cost reduction, and has hands-on experience with Kafka, Flink, relational databases, and production incident mitigation via feature-flag rollbacks.”
Mid-Level Software Engineer specializing in AI, distributed systems, and cloud-native full-stack development
Mid-level AI Engineer specializing in LLM agents, evaluation pipelines, and microservices
Entry-level Software Engineer specializing in backend workforce scheduling systems
Mid-Level Software Engineer specializing in recommendation and ranking systems
Mid-level Software Engineer specializing in FinTech and compliance systems
Mid-level Full-Stack Engineer specializing in cloud platforms and AI systems
Mid-level Software Engineer specializing in real-time streaming and analytics platforms
Mid-Level Software Engineer specializing in backend systems and AI automation
Mid-level Backend Software Engineer specializing in distributed systems and reliability
Mid-Level Backend Engineer specializing in cloud-native distributed systems and data pipelines
Executive engineering leader specializing in FinTech, blockchain, and AI