.png){kind=logo}
Vetted Software Engineers in California
Pre-screened and vetted in California.
Senior Software Engineer specializing in FinTech and enterprise platforms
Senior Backend Engineer specializing in Python and AWS cloud services
Senior Software Engineer specializing in Python and AWS cloud-native backend systems
Intern Machine Learning Engineer specializing in RL post-training for LLMs and VLMs
Mid-level Data Engineer specializing in ML, LLM pipelines, and analytics platforms
Staff/Principal Software Engineer specializing in embedded systems, networking, and ML
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Junior Software Engineer specializing in backend systems and cloud messaging
Executive technology leader specializing in AI, LLMs, search, and platform engineering
Staff Software Engineer specializing in FinTech eCommerce platforms
Intern AI Software Engineer specializing in LLM inference optimization and model compression
Principal Systems & Software Engineer specializing in IVD/medical device compliance and genomics
Mid-Level Software Engineer specializing in full-stack web and FinTech systems
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Entry-Level Software Engineer specializing in backend systems and cloud messaging
Mid-level Software Engineer specializing in backend systems and FinTech
Principal Software Engineer specializing in distributed systems and cloud microservices
Aman Garg
Mid-Level Full-Stack Software Engineer specializing in Python and React/TypeScript
“Built and shipped a map-embedding SDK (published to npm) for Walmart apps, solving key performance issues with real-time streaming (WebSockets) and Canvas rendering while prioritizing developer experience. Also applies LLM/agentic patterns in production workflows—using diagnostic agents and human-in-the-loop escalation to detect and resolve issues (e.g., voice agent loops caused by RAG API failures). Has sales-engineering experience supporting enterprise renewals, including a million-dollar contract renewal while at Siemens working with Ford stakeholders.”
Anuj Vakil
Mid-level Software Engineer specializing in distributed data infrastructure
“Engineer who uses AI in a disciplined, practical way—leveraging it to speed debugging, generate edge-case tests, and improve coverage while retaining ownership of system design and production validation. Has experimented with chained AI tools but prefers simpler workflows when they reduce noise and review overhead.”
Pujan Thapa
Mid-level AI Engineer specializing in LLM applications and enterprise automation
“Engineer with a notably mature AI-native development process: uses Claude/Claude Code in a test-first, iterative workflow and has led multi-agent builds across frontend, backend, and testing. Most notably, they led development of an AI voice agent platform, creating custom agent skills and enforcing clear architectural boundaries to deliver a stable, scalable system.”