Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLMs, NLP, and real-time AI systems
“Backend engineer who built a real-time pipeline for recording, transcribing, and analyzing audio from 400+ news radio stations, scaling Whisper on an HPC cluster with 7 H100 GPUs. Has strong performance optimization experience (30% latency reduction via SQL/query design; 50% DB call reduction via Redis caching) and has implemented region-based data isolation and PII protections in a regulated environment (JP Morgan Chase).”
Senior Full-Stack Engineer specializing in FinTech and cloud-backed web platforms
“Full-stack engineer with strong AI systems and B2B SaaS experience across BrightOps, Zapier, Nordstrom, and Calendly. They’ve owned architecture for an AI-powered tutoring platform, improved retrieval quality with a hybrid vector-plus-keyword approach, and built Go services processing over 1 million student events per day. Particularly compelling for teams building data-intensive, reliability-critical products with LLM, workflow automation, or compliance-oriented use cases.”
Intern Software Engineer specializing in data systems and machine learning
“Internship experience at TikTok and nCino, with hands-on work spanning production Python data pipelines, recommendation-system feature workflows, Salesforce Apex automation, and flaky UI automation for a live stock recommendation platform. Stands out for a reliability-focused approach: anticipating failure modes, instrumenting observability, and turning ambiguous business processes into maintainable automated systems.”
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Mid-level Software Engineer specializing in cloud and full-stack web development
Mid-Level Software Engineer specializing in cloud platforms and AI agent integrations
Mid-level Software Engineer specializing in FinTech and compliance systems
Intern AI & Full-Stack Developer specializing in biotech valuation and ML
Senior Python AI/ML Engineer specializing in MLOps, data engineering, and LLM applications
Junior Software Engineer specializing in backend systems and AI-powered applications
Junior Data/Backend Engineer specializing in distributed systems and streaming pipelines
Senior Software Engineer specializing in cloud-native full-stack and FinTech systems
Mid-level Software Engineer specializing in FinTech payments and compliance systems
Senior Software Engineer specializing in backend systems and payment platforms
Senior Backend Engineer specializing in cloud-native Python microservices
Senior Full-Stack Software Engineer specializing in Healthcare IT and cloud-native systems
Mid-level Full-Stack Python Developer specializing in APIs, microservices, and cloud deployments
Mid-level Full-Stack Developer specializing in cloud-native FinTech and Healthcare IT
Mid-level Software Engineer specializing in AWS, full-stack development, and AI data systems
“Backend engineer who built a Python-based data profiling/statistics platform processing up to 50M rows and ~300 metrics, using a DAG execution model, multithreading, and smart caching to cut processing time by up to 70%. Also improved PostgreSQL query performance from 12s to 2s via indexing/query rewrites, integrated an LLM (LangChain + OpenAI) for explainable “chat with the pipeline” functionality, and designed an AWS EC2+SQS architecture for scalable, isolated per-user processing.”