Pre-screened and vetted in Washington.
Mid-level Backend Software Engineer specializing in FinTech and cloud microservices
Intern AI/ML Engineer specializing in LLM applications and data infrastructure
“Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.”
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Mid-Level Full-Stack Software Engineer specializing in FinTech and EdTech
Mid-level Software Engineer specializing in AI and FinTech platforms
“LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.”
Mid-level Machine Learning Engineer specializing in data science and cloud systems
“ML engineer who independently pitched and built a recommendation engine at Danske Bank in a legacy fintech environment, creating compliant data pipelines and deployment infrastructure from scratch and delivering a 62% engagement lift with 70%+ advisor adoption. Also worked at AWS on classification and GenAI-powered reporting systems, with strengths spanning production ML, platform setup, monitoring, and research-to-production optimization.”
Junior Software Engineer specializing in Python, AWS, and data/ETL systems
“Data/ETL-focused engineer with Amazon experience building and deploying AWS-based pipelines that became the primary source of automated customer feedback insights (processing millions of records daily). Demonstrated strong incident troubleshooting across software/host/network layers using CloudWatch, traces, and metrics, plus hands-on stakeholder and on-site operator collaboration to translate reporting needs into star-schema data models and tailored Python ETL logic.”
Mid-Level Software Engineer specializing in backend, cloud, and AI-powered systems
Senior Full-Stack Software Engineer specializing in cloud-native SaaS, FinTech, and Healthcare IT
Junior Software Engineer specializing in cloud-native backend and data platforms
Director-level Engineering Manager specializing in cloud data platforms and data engineering
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and automation
Senior Frontend Engineer specializing in React, TypeScript, and accessible enterprise cloud UX
Senior Frontend Software Engineer specializing in real-time, performance-focused web apps
Junior Software Engineer specializing in backend systems and distributed data pipelines
Mid-level Software Engineer specializing in backend, distributed systems, and cloud infrastructure
Mid-level Backend Software Engineer specializing in FinTech and AWS microservices
Senior Full-Stack Software Engineer specializing in test automation and cloud
Junior Full-Stack Engineer specializing in React, Node.js, and event-driven systems