Pre-screened and vetted.
Senior Product Leader specializing in AI-driven healthcare automation
Director of Engineering specializing in cloud, microservices, and data-intensive platforms
Senior Software Engineer specializing in full-stack SaaS, AI workflows, and FinTech
Senior Unity Developer specializing in real-time 3D, VR/XR, and WebGL platforms
“Unity engineer with a rare mix of real-time multiplayer, cross-platform shipping, and applied LLM/avatar experience. Built production systems ranging from scalable social-game avatar customization and multiplayer sandbox tooling in Agora World to a low-latency AI negotiation roleplay avatar in Unity WebGL, while also owning client-facing event features end-to-end.”
Senior Software Engineer specializing in AI and healthcare platforms
“Backend/ML engineer who has moved from enterprise energy systems at Chevron into healthcare AI, including co-founding a medical billing AI startup and building real-time clinical assistant infrastructure at Humana. Particularly strong in production LLM systems, streaming backend architecture, and regulated healthcare workflows where latency, reliability, auditability, and user trust all matter.”
Mid-level Full-Stack Software Engineer specializing in cloud, microservices, and React/Java
“Software engineer with experience at PayPal and JPMC building large-scale onboarding/account setup systems using React/TypeScript with Spring Boot/Node microservices and Kafka. Also built an Ignition-based SCADA monitoring tool at Mainspring Energy that became the default for manufacturing/test engineers by aggregating real-time telemetry and historical test data.”
Senior AI/ML Engineer specializing in GenAI agents and LLM workflows
“LLM/AI engineer with production experience building a retrieval-based document intelligence system that extracts information from PDFs/emails, backed by Python + Spark pipelines. Focused on reliability and cost/latency optimization (caching, batch processing) and has hands-on orchestration experience with Airflow (sensors, retries, alerts). Also partnered with business stakeholders to deliver customer feedback classification/summarization for faster sentiment insights.”
Mid-level Software Engineer specializing in backend systems and cloud-native FinTech
“Amazon engineer with 5+ years of experience who built an AI-assisted log investigation and triage workflow that cut debugging time by about 30% during on-call incidents. Combines observability tooling like CloudWatch and Splunk with Python, prompt engineering, and RAG-based diagnostics, and has practical experience orchestrating agentic AI workflows with a strong human-in-the-loop reliability focus.”
Staff Software Engineer specializing in full-stack platforms and blockchain
“Staff software engineer at Indeed specializing in high-scale financial and invoicing platforms, including a major 8-team migration that moved invoicing for $6B in revenue to a new accounting vendor. Combines deep distributed-systems experience with pragmatic technical leadership and has also built AI bots that cut SDLC lead time from 20 days to under 7.”
Staff-level Software Engineer specializing in identity, access management, and platform security
“Backend engineer focused on scalable, security-first platform architecture—recently built an end-to-end centralized access-control system that launched successfully with ~50k early adopters and was designed to support ~10x traffic growth. Experienced in production authn/authz (token verification, handoff/session migration), and in de-risking migrations via feature flags, phased rollouts, A/B testing, and Splunk-based monitoring.”
Mid-level Robotics Software Engineer specializing in simulation, embedded systems, and robot learning
“Robotics engineer who built a 6-axis force-torque sensor system end-to-end at ROAM Lab, including electronics, low-level drivers, and ROS2 live inference with time-series deep learning (ultimately a 1D ResNet) to handle highly noisy, session-shifting signals. Also upgraded tactile manipulation models to time-series inputs by modifying long-standing ROS architectures, and has prior experience in defense (L3Harris) with production-grade testing and code review practices; published work: arxiv.org/abs/2410.03481.”
Mid-level Full-Stack Software Engineer specializing in Healthcare IT and FinTech
“Full stack engineer in the financial/thematic investing domain who built end-to-end applications on AWS. Notably redesigned a slow portfolio analytics workflow by offloading heavy computations to scheduled AWS Lambda jobs and caching results in DynamoDB (TTL), cutting API latency from ~5 seconds to under 300ms while supporting data-heavy daily market processing.”
Senior Data Engineer specializing in cloud data platforms and big data pipelines
“Data engineer with healthcare (CVS Health) experience who migrated production PySpark workloads to native BigQuery SQL and built a Great Expectations-based validation microservice on GKE (Flask + REST) integrated into Cloud Composer. Has operated high-volume pipelines (~300–400GB/day) and designed external vendor ingestion on AWS (Lambda/Step Functions/Glue) with schema-drift detection, alerting, and backfill-safe controls to protect downstream Snowflake/BigQuery tables.”
Entry Software Engineer specializing in embedded systems, full-stack, and AI/ML
“AI-focused engineer who treats models as tightly controlled collaborators rather than autonomous replacements. Built and led a LangGraph-based multi-agent research system with separate stages for decomposition, retrieval, synthesis, and validation, emphasizing modularity, debuggability, and robust failure handling.”
Principal Technology Architect specializing in healthcare IT infrastructure modernization
“Healthcare IT engineer with deep observability, backend, and database expertise who built mission-critical monitoring solutions across major enterprise transitions including Siemens, Cerner, and Oracle. Stood out by creating a DoD-deployed observability platform for 10,000+ HL7 interfaces and by automating hospital financial day-end workflows, cutting issues by 90% and freeing up 14 FTEs.”
Senior AI & Machine Learning Engineer specializing in GenAI, Agentic AI, and RAG
“Built a production agentic AI system to automate data science work using a layered architecture (executive-summary handling, tool-based execution, and on-the-fly code generation). Demonstrates strong end-to-end agent development practices including RAG with vector databases, prompt engineering, and multi-method evaluation (LLM-as-judge/human/code-based), plus Airflow-based orchestration for ML data pipelines and close collaboration with business end users.”
Senior Full-Stack Software Engineer specializing in Healthcare IT and FinTech
“Backend/platform engineer building HIPAA-compliant, real-time healthcare systems: owned a Python/Flask API layer for an AI-enabled patient engagement and risk scoring service, implemented PHI-safe logging and cross-service auditability, and delivered Kubernetes microservices via ArgoCD GitOps. Also has experience with Kafka streaming pipelines and hybrid cloud-to-on-prem migrations in regulated healthcare/fintech environments.”
Principal Software Engineer specializing in game engines, simulation, and cross-platform systems
“Principal-level Unity engineer who has led cross-platform social and multiplayer feature development for Epic Games, including Unity native plugin work spanning PC, mobile, and major consoles. Also brings specialized VR/MR experience for government clients like the EPA and Homeland Security, with a strong track record in reusable architecture, platform integrations, and engineering team leadership.”
Mid-level Software Engineer specializing in backend and distributed systems
“Backend engineer who has owned large-scale systems from design through rollout, including a Dell rearchitecture that unified two regional platforms and delivered major latency gains while scaling the effort from 6 to 150 contributors. Also built an ESG analysis product in an ambiguous startup environment using AWS Lambda, Bedrock/Claude, Flask, and custom data pipelines, showing a blend of distributed systems depth and practical AI integration.”
Executive software engineering leader specializing in SaaS platform modernization and AI
“Senior engineering leader with over 20 years of management experience and a hands-on background leading large-scale SaaS, eCommerce, CRM, and customer data platform systems serving millions of users. Stands out for combining deep technical architecture leadership with org-scale people management, including solving multi-tenant SaaS scaling issues, driving self-service product improvements from support patterns, and building governance models for cross-functional delivery.”
Mid-level Full-Stack Engineer specializing in AI and LLM-powered systems
“Shopify full-stack engineer focused on AI/LLM-powered merchant automation products. They have hands-on experience building React/TypeScript and Python/FastAPI systems for long-running agentic workflows, including orchestration, guardrails, observability, and customer-facing trust features, with measurable gains in task completion and latency.”
Executive engineering leader specializing in SaaS platforms, AI/LLM, and digital transformation
“Senior engineering leader who scaled a global organization from 15 to roughly 100 people and operates comfortably at both executive and hands-on architecture levels. Has led SaaS platform improvements, AI-based compliance workflow automation with LLM observability, and consumer-facing product modernization using analytics-driven UX decisions.”
Senior Game Systems & Engine Engineer specializing in C++/Unity/Unreal
“Game engineering leader/player-coach who recently shipped Netflix/Boss Fight’s mobile hit Squid Games Unleashed, owning live ops scheduling (XML/JSON to C# in Unity) and storefront integrations while reviewing 6–8 engineers’ code. Experienced in client-server reliability work (The Sims 4 time-sync incident) and in speeding delivery via process redesign (gated approvals), with a coaching style informed by 6 years teaching improv theater.”