Pre-screened and vetted.
Senior Software Engineer specializing in AI/LLM systems and cloud backend platforms
“Built and owned an end-to-end AI-powered natural-language-to-SQL deployment within Oracle OCI/Autonomous Database, including enrichment pipelines, RAG-based retrieval, SQL generation APIs, and post-launch monitoring. Stands out for combining LLM production engineering with strong guardrails, stakeholder management, and operational rigor around accuracy, latency, hallucination mitigation, and reliability.”
Intern Software Engineer specializing in data engineering and AI agent systems
“AI engineer at Anote.ai who built and shipped a production multi-agent LangGraph/LangChain/Ray RAG platform for enterprise search and workflow automation, supporting 3 commercial products and 100+ developers. Drove measurable gains (30% accuracy improvement, lower latency) and improved reliability with Redis-based state checkpointing, message-queue synchronization, and Milvus retrieval optimizations, while partnering with PMs/clients to add transparency features like confidence scores and real-time logs.”
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Infrastructure/operations engineer with hands-on IBM Power/AIX administration (LPAR/DLPAR, HMC, RMC) and PowerHA cluster failover experience, plus modern DevOps tooling across CI/CD, Kubernetes/Helm, and IaC (Terraform/CloudFormation/Ansible). Emphasizes controlled change management, drift prevention via Git-as-source-of-truth, and observability practices using Prometheus/Grafana.”
Mid-level Data Engineer specializing in real-time pipelines across FinTech and Healthcare
“Data engineer at Plaid who built greenfield, end-to-end real-time transaction pipelines and FastAPI data services for fraud detection and analytics, handling millions of events per day. Strong focus on reliability and data integrity via Great Expectations validation, Airflow-based monitoring/SLAs, quarantine/staging patterns, and robust external data ingestion with schema versioning and backfills (reported 50% fewer anomalies and ~40% fewer failures).”
Executive CTO specializing in AI-powered transformation for enterprise SaaS
“Former Cisco professional who successfully pitched and got funding for adding virtualization to access routers to enable third-party application development, framing the opportunity with clear revenue upside and risk management. Highly interested in AI—especially agent-based development—and believes it lowers the barrier to building and shipping new products with small, high-caliber teams.”
Mid-level Full-Stack Developer specializing in Java, microservices, and cloud platforms
“Backend-focused engineer who uses AI pragmatically as a force multiplier rather than a substitute for engineering judgment. They stand out for applying structured, agent-style workflows to code generation, debugging, and production log analysis while maintaining strong emphasis on correctness, performance, and reliability in backend and microservices environments.”
Senior Software Engineer specializing in full-stack enterprise SaaS and digital marketing
“Atlassian engineer who grew from frontend into full-stack ownership, spanning React/TypeScript UI architecture, backend data pipelines, observability, and Kotlin/Spring Boot integrations. They describe owning Confluence profile-service integration tied to signup growth, plus building a marketing analytics platform with caching, reusable components, and data-quality tooling that increased stakeholder adoption by 30%.”
Senior Software Engineer specializing in data-rich web applications and visualization
“Frontend-leaning product engineer who has owned complex, data-heavy interfaces across Stitch Fix, Amplitude, Salesforce, and C3Drone. Stands out for modernizing legacy UIs into React, improving performance for large and real-time datasets, and stepping beyond frontend into backend sync logic, middleware, and query/parser work to ship collaborative product features.”
Staff Full-Stack Engineer specializing in AI platforms and Healthcare IT
“Senior full-stack engineer with seed-stage fintech experience who has led payment API development, implemented compliance-related standards, and built production systems across React, Go, Python, Node.js, and PostgreSQL. Notable impact includes enabling a first major client launch, reducing logistics response times by 30%, improving page load times by 40%+, and cutting analytics report generation from minutes to seconds.”
Mid-level AI Engineer specializing in LLM systems and full-stack SaaS
“Data engineer/backend developer with experience owning end-to-end, high-volume data pipelines for ML/analytics using Python, Airflow, SQL, and PySpark, reporting ~30% error reduction through improved reliability and data quality checks. Has also built Django-based REST APIs with caching/pagination and strong versioning practices, and operated external data collection/web scraping pipelines with anti-bot measures, monitoring, retries, and idempotent backfills.”
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.”
Engineering Manager specializing in enterprise SaaS, cloud analytics, and ML-driven systems
“Engineering leader who managed a 20-person cross-functional team building customer-driven software solutions, delivering a 50% reduction in simulation/test lifecycle and securing a long-term strategic SLA. Strong in scalable data ingestion architectures (FastAPI + Kafka + multiprocess workers), operational diagnostics (correlation IDs/centralized logging), and microservice decoupling for analytics/visualization. Active open-source contributor who shipped a NATS bug fix and improved SDK onboarding with automation that cut ramp time by 30%.”
Executive Software Engineering Leader specializing in Trading, Payments, and FinTech platforms
“Entrepreneurially minded operator with experience in trading-platform environments who prototyped a vector-database layer to generate contextual incident narratives and reduce MTTR/escalations. Also building a non-tech venture: luxury wine distribution into India and broader Asian markets, sourcing directly from wineries with a Master of Wine and planning tier-1 launch via restaurant-owner connections while navigating complex import duties and licensing.”
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Junior Full-Stack Developer specializing in cloud-native microservices
Mid-Level Software Engineer specializing in AI, distributed systems, and cloud-native full-stack development
Executive Technology & Product Leader specializing in cloud platforms, security, and global engineering scale
Principal AI/ML Engineer specializing in personalization, NLP, and MLOps
Mid-level Software Engineer specializing in FinTech and compliance systems
Mid-level Software Engineer specializing in backend and full-stack FinTech systems
Intern AI & Full-Stack Developer specializing in biotech valuation and ML
Senior Software Engineer specializing in cloud storage and infrastructure
Mid-level Full-Stack Software Engineer specializing in microservices and event-driven systems