Pre-screened and vetted.
“ML/AI engineer with strong end-to-end production ownership across classical ML and GenAI systems. Built and deployed predictive analytics and RAG-based internal tools on AWS/Kubernetes with measurable impact on accuracy, latency, deployment speed, safety, and user productivity.”
Mid-level Full-Stack Developer specializing in FinTech and enterprise web applications
“Backend engineer currently at Bank of America with experience in scalable backend services, microservices, and event-driven systems. Stands out for using AI pragmatically as a productivity accelerator while maintaining strong engineering judgment around reliability, security, and production validation, and shows strong architectural intuition for multi-agent workflows through a distributed-systems lens.”
Junior Software Engineer specializing in backend systems, AI, and search
“Built a complex graph-based search engine to find connections between people and has hands-on experience designing multi-agent coding pipelines that move features through implementation, test generation, testing, and sanity checks. Stands out for treating AI agents like an engineering team, with shared-memory coordination, queue signaling, and completeness-focused guardrails to improve reliability and reduce ambiguity.”
Director-level Enterprise Architect specializing in SaaS cloud platforms and SRE
“Engineering leader focused on multi-cloud platform modernization, combining deep hands-on expertise in Kubernetes, Terraform, GitOps, and DevSecOps with management of 18-person DevOps/SRE/software teams. Particularly strong in building secure, scalable enterprise SaaS infrastructure and Spark/Databricks data platforms while driving cross-functional standardization, reliability, and faster release cycles.”
Principal Enterprise Architect specializing in AI, cloud, data, and FinTech transformation
“Solutions/technical consulting professional with enterprise experience supporting major accounts including Costco, MasterCard, Delta Dental of Michigan, and Fannie Mae. Brings a blend of cloud migration, enterprise architecture, security/IAM integration, and business-case development, plus hands-on automation work in Python and GCP to modernize sales-related data processing.”
Senior AI/ML Engineer specializing in Generative AI, LLMs, and production ML systems
“ML/AI engineer with hands-on ownership of both classical ML and GenAI systems in production. They built an end-to-end churn prediction service on AWS and also shipped RAG-based document search/summarization features, with clear experience in monitoring, hallucination reduction, cost/latency optimization, and creating shared Python/LLM infrastructure used across teams.”
Mid-level MLOps/DevOps Engineer specializing in cloud automation and ML pipelines
Mid-Level Software Engineer specializing in ML platforms and full-stack systems
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG systems
Mid-Level Software Development Engineer specializing in AWS automation and release pipelines
Mid-level Full-Stack Software Engineer specializing in cloud and GenAI applications
Junior Software Engineer specializing in AI/ML and cloud-native systems
Mid-level Python Full-Stack Developer specializing in AI-driven cloud applications
Staff Software Engineer specializing in Healthcare Platforms and Observability
Intern Software Engineer specializing in full-stack development and cloud/AI automation
Staff Software Engineer specializing in cloud-native healthcare platforms and ML systems
Mid-level AI Software Engineer specializing in LLM agents and workflow orchestration
Senior Data Engineer specializing in AI/ML platforms and legal data pipelines
Mid-level Software Engineer specializing in distributed systems and AI infrastructure
Principal Engineering Leader specializing in AI platforms and game backend systems
Director-level Software Engineering Leader specializing in cloud-native data platforms and ad-tech
Mid-Level Software Engineer specializing in cloud-native microservices and real-time data pipelines