Pre-screened and vetted in the Bay Area.
Mid-level Full-Stack Software Engineer specializing in AI agents and distributed systems
Senior Data Engineer specializing in legal data pipelines and AI-native metadata systems
Mid-level DevOps Engineer specializing in cloud infrastructure, CI/CD automation, and DevSecOps
Entry-level Software Engineer specializing in AI and machine learning
Junior Software Engineer specializing in AI and FinTech payments
“Forward-deployed software engineer at PayStand who uses LLM prototyping tools (e.g., Cursor, Lovable) to rapidly build customer-specific demo environments and drive sales outcomes—citing ~$100K in technical buy-in before production development. Experienced supporting an enterprise expense management product (Teampay) with agentic AI workflows, emphasizing observability (Grafana/Loki/Tempo) and cross-functional communication with sales, product, developers, and customers.”
Senior Technical Project Manager specializing in SaaS implementations and integrations
“Implementation/CS professional with enterprise account ownership in fintech/payments and ERP-integrated workflows (NetSuite, QuickBooks), including complex hybrid AP/mass pay setups and bidirectional sync challenges. Partners closely with Product/Engineering on integration plans and sandbox validation, and has driven expansion by upselling REST API automation beyond initial iFrame/ERP scope.”
Senior Full-Stack Engineer specializing in AI, React, and Flutter
Mid-level Full-Stack Software Engineer specializing in cloud-native and agentic AI systems
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Mid-Level Software Engineer specializing in AI/ML and backend systems
Senior Frontend/Full-Stack Engineer specializing in React, Next.js, and TypeScript
Senior AI Engineer specializing in LLM and generative AI production deployments
Mid-Level Product Engineer specializing in React and user-centric web products
Mid Software Engineer specializing in AI automation and full-stack systems
“Built and shipped a production LLM-powered email automation agent for procurement that ingests emails/attachments, classifies requests via rules+embeddings+LLM fallback, enriches responses with SAP inventory data, and generates templated replies. Architected it as an event-driven, idempotent Azure Functions/Queues pipeline with schema-constrained outputs, confidence gating, retries/circuit breakers, and Application Insights monitoring—cutting turnaround time from 4–7 days to near real-time while maintaining zero downtime.”
Mid-level Software Engineer specializing in AI, backend systems, and data platforms
“Built and shipped production AI features for Aiden, including a natural-language agent and a Knowledge Hub ingestion/retrieval system. Stands out for hands-on debugging of real LLM production issues across providers like OpenAI and AWS Bedrock, improving reliability and achieving 90% response/retrieval consistency through direct LiteLLM integration, validation, monitoring, and async system design.”