Pre-screened and vetted.
Senior Software Engineer specializing in AI and FinTech platforms
“Built a production LLM pipeline at Walter AI that scans massive user inboxes, identifies financial newsletters, and extracts trading strategies into structured JSON for downstream paper-trading workflows. Stands out for combining agent architecture with strong production discipline—cutting scan time from 20 to 5 minutes, reducing LLM costs by 90%, and achieving 3-second P99 latency while handling messy, inconsistent email data at scale.”
Mid-level AI Engineer specializing in machine learning and healthcare research
“Backend engineer with end-to-end ownership of scientific and AI-powered systems, including neuron imaging pipelines at Monell Chemical Senses Center and an LLM-based structured information extraction platform for Wharton and PSG. Stands out for turning messy, compute-heavy workflows into reliable production backends with measurable impact, including saving researchers over 50 hours per week.”
Entry-level Data Scientist specializing in AI evaluation and analytics
“Built both traditional data infrastructure and LLM-powered product workflows, spanning a Python/SQL ETL deployment at Amazon and an adaptive learning system for their DataLingo platform. Particularly interesting for roles at the intersection of data engineering, applied AI, and customer-facing product delivery, with hands-on experience stabilizing probabilistic LLM systems in production.”
Mid-level Data Engineer specializing in multi-cloud analytics platforms
“Data engineer with hands-on GCP platform experience spanning BigQuery, Cloud SQL, Dataflow, and Cloud Composer, including both production operations and cloud migration work. They led a migration from legacy SQL Server/Oracle systems to a cloud-native BigQuery architecture and cite measurable impact: processing reduced from hours to minutes, query latency improved 60%+, and ingestion time improved 40%.”
Mid-level Full-Stack Engineer specializing in cloud-native data and enterprise platforms
“Software engineer with practical, day-to-day experience embedding AI into development workflows across coding, testing, code review, and AWS data pipelines. Uses tools like Claude, Cline, JUnit, Mockito, and Amazon Bedrock, and stands out for having a realistic, mature view of agent limitations, hallucinations, and the need for strong prompting and human validation.”
Senior Software Engineer specializing in distributed systems, compliance, and healthcare platforms
“Engineer using AI deeply in real production workflows, not just for code generation: they built agents for PR reviews and incident debugging that reportedly reduced review time by 50% and sped root-cause analysis by 30%. They also designed a three-agent personalization pipeline for real-time navigation curation, showing hands-on experience with multi-agent systems, orchestration, and rule-based refinement.”
Staff Software Engineer specializing in backend and distributed systems
“Backend engineer who co-launched SkyKick’s Office 365 SharePoint/Exchange backup product, built the MVP, and then architected and led its design for 9 years. Stands out for high-scale systems expertise, including an algorithmic redesign that cut cloud costs by an order of magnitude, plus earlier experience integrating speech recognition systems in noisy real-world customer environments.”
Mid-level Software Engineer specializing in distributed systems and ML infrastructure
“Senior software engineer candidate who uses AI and multi-agent workflows thoughtfully to speed up development while preserving engineering rigor for production-critical decisions. Stands out for a clear risk-based framework: leveraging agents for boilerplate, refactoring, testing, and debugging, while relying on fundamentals, metrics, and human review for system design and scalability.”
Executive Technology Leader (CTO) specializing in AI-enabled SaaS and regulated platforms
“Senior engineering leader with experience at Disney and BlackLine who drives business-aligned technology roadmaps through deep Product/Engineering partnership (two-in-a-box) and pragmatic prioritization frameworks. Has led major modernization initiatives—private-to-public cloud migration to GCP with multi-cloud evolution, data-layer performance improvements (Mongo/Redis, caching/query optimization), and tooling upgrades (VSS to GitHub)—while scaling teams with strong quality and accountability culture.”
Director-level product and engineering leader specializing in distributed systems and cloud platforms
“Former CTO and co-founder of Cosmonic who led technology vision, roadmap, and team building while also serving as the technical lead in investor and VC meetings. Has hands-on experience supporting seed and Series A rounds, plus strategic exposure to later-stage fundraising at Synadia, combining startup-building depth with a pragmatic view of risk and business viability.”
Senior Full-Stack Software Engineer specializing in FinTech/PropTech platforms
“Former multi-startup CTO with experience supporting successful capital raises and working directly with boards/investors. Known for implementing operational systems that reduce client escalations (e.g., a status/semaphore overview board) and for building UX-forward MVPs that evolve into automated platforms, including a loan underwriting system for a small US lender.”
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Principal Software Engineer specializing in cloud platforms, automation, and distributed systems
Principal Systems Engineer specializing in ML, computer vision, and intelligent sensing
Mid-level Python Developer specializing in cloud data engineering and ETL/real-time pipelines
Intern Software Engineer specializing in systems, containers, and cloud infrastructure
Executive Technology Leader specializing in scalable SaaS platforms and engineering org growth
Intern Product Manager & Software Engineer specializing in data analytics and AI
Senior Mobile Software Engineer and Team Lead specializing in Shopify e-commerce
Entry-Level Software Engineer specializing in cloud infrastructure and full-stack development
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems