Pre-screened and vetted.
Mid-level Data Analyst specializing in marketing analytics and machine learning
Mid-level Applied AI Engineer specializing in LLM agents and RAG systems
Mid-level Data Scientist specializing in predictive modeling and applied mathematics
Director-level growth marketer specializing in AI-powered paid media and revenue operations
Mid-level Full-Stack Developer specializing in MERN, mobile apps, and business automation
“Full-stack builder who appears to have owned Qualifychat end-to-end as a solo contributor, spanning React/TypeScript frontend, backend APIs, AI-driven lead qualification, scoring, and admin dashboards. Strong focus on turning complex automation into simple business workflows, with additional experience building tools like Write Guard and an HR CRM.”
Mid-level Software Engineer specializing in backend systems and FinTech analytics
“Engineer with a pragmatic, high-leverage approach to AI-assisted development: uses AI and multi-agent workflows aggressively for implementation and internal tooling, while maintaining strict human oversight for user-facing features. Stands out for treating agents like junior engineers, breaking work into actionable tasks, and combining robust testing, local E2E validation, and feature-flag rollouts to safely ship production code.”
Junior AI Integration Engineer specializing in LLM agents and RAG on cloud platforms
“Built and deployed LLM-powered features for a startup organizational management application, focusing on real-world deployment constraints like latency and cost. Implemented RAG with FAISS and improved retrieval quality by switching embedding models (OpenAI/Hugging Face) and fine-tuning embeddings on medical corpora for a medical-report UI feature. Uses LangChain and LangGraph to orchestrate multi-node LLM API workflows and evaluates systems with metrics like latency, cost per request, and error taxonomy.”
Senior Digital Marketing Strategist specializing in growth, paid media, and e-commerce
“Paid media marketer with entrepreneurial experience as a cofounder of a Colombian finance/trading education company, giving him both operator and advertiser perspective. He has personally run Meta and Google campaigns focused on direct sales, built manual attribution into CRM workflows, achieved 3x-4x ROAS on limited budgets, cut CPA by 40%, and improved CVR from 3% to 8%. Currently based in Kissimmee, Florida and able to work full-time on Eastern Time with flexibility for urgent needs.”
Mid-Level Full-Stack Developer specializing in civic tech and data-driven web apps
“Built and owned an end-to-end Python/Postgres job-tracker backend that scrapes job postings (including LinkedIn) using Selenium-driven real-browser automation, with deduplication and data-quality filtering. Has practical experience migrating deployments from DigitalOcean to Vercel and emphasizes documentation, roadmapping, and testing as part of an iterative delivery cycle.”
Mid-level Software Engineer specializing in full-stack development, data engineering, and GenAI
“Built and deployed an LLM product called "Content Craft" combining BART-based summarization with a RAG Q&A chatbot using LangChain, embeddings, and a vector database. Has hands-on MLOps experience containerizing and serving models with FastAPI and running them on Kubernetes with monitoring, self-healing, and autoscaling, and has practical experience reducing hallucinations through structured prompting.”
Junior Software Engineer specializing in full-stack web and AWS cloud automation
“Software developer with experience delivering and deploying customer-facing web applications, including an investment-focused platform requiring PostgreSQL/SQL optimization and hierarchical (adjacency list) data modeling. Has integrated payment APIs for a retail/antique shop use case, factoring in rate limits and documentation-driven implementation, and has handled time-sensitive production bugs via rapid replication and hotfix deployment.”
Junior Backend Engineer specializing in data platforms and cloud APIs
“Backend lead at a stealth startup and builder of MailIQ/MailBox—an automated Gmail inbox digest + cleanup system. Designed secure multi-account email ingestion and cost-efficient LLM-based summarization, and implemented robust unsubscribe automation using Playwright + OpenAI webpage analysis (including captcha-handling) with strong safety guardrails, incremental rollouts, and rollback strategies.”
Mid-level Full-Stack Software Engineer specializing in web applications and client solutions
“Frontend-focused candidate with hands-on experience building portfolio React applications, including a LinkedIn-style SPA with Google/Firebase auth, profile management, and job search. Has worked through practical state-management and rendering-performance issues, and also built a Mapbox-based weather app for interactive geospatial UI experimentation.”
Junior Software Developer specializing in full-stack and cloud applications
“Oracle Software Developer (2+ years) at C3 Business Solutions, a consulting firm building and maintaining ERP applications across Oracle APEX/FDI/Fusion/EBS/OCI. No formal game QA experience yet, but demonstrates practical QA-adjacent skills (test planning, debugging via logs, and detailed bug reporting) and is explicitly looking to transition into a QA Engineer role.”
Junior Full-Stack & LLM Engineer specializing in AI agents and cloud document intelligence
“Backend engineer specializing in event-driven/serverless systems and Python/FastAPI APIs. Built a scalable PDF-to-structured-data pipeline on AWS (S3, Lambda, Step Functions, Textract, DynamoDB, SNS) with strong observability (p50/p90/p99) and reliability patterns (idempotency, retries/DLQs), and has led zero-downtime migrations using feature flags, dual writes, and incremental rollouts.”
Junior Full-Stack Software Engineer specializing in Python APIs, React, and cloud AI integrations
“Customer-facing software engineer who builds and deploys practical AI/RAG solutions (e.g., an AI assistant for searching billing PDFs) by deeply understanding support workflows and iterating with users. Demonstrates strong production instincts—quickly stabilizing peak-traffic API timeouts with caching/background jobs, then implementing durable fixes with proper monitoring and maintainable code practices.”
Junior Full-Stack Engineer specializing in AI and automation
“Startup-focused builder who created and iterated an MVP for Enky, a two-sided marketplace connecting music artists and creators, informed by hundreds of customer interviews. Implemented CI/CD, monitoring (PostHog/Sentry), and a complex payout pipeline involving scraping social platforms and routing escrow payments via Stripe, and has a track record of quickly debugging production issues (e.g., iOS-specific OAuth cookie failures).”
Senior Full-Stack Java Developer specializing in Healthcare IT and FinTech
“Built and owned an end-to-end HIPAA-compliant Next.js/TypeScript portal at Casedok using a microservices, event-driven architecture with Temporal-orchestrated SAGA workflows. Emphasizes production-grade quality (strict typing, Jest integration tests, CI + mandatory PR reviews) and operational reliability/observability (circuit breakers, idempotency, Prometheus alerts), plus experience designing external-facing APIs with Swagger, JWT, and backward-compatible versioning.”
Junior Backend Engineer specializing in AI and LLM platforms
“Fullstack product engineer with strong AI application experience, including a provider-agnostic LLM routing layer spanning Bedrock, OpenAI, and Hugging Face. They pair hands-on technical depth with product instincts, having shipped customer-facing chat and workflow features that reduced support tickets by 38% and cut approval processing time in half.”
Mid-level Software Engineer specializing in data pipelines, web scraping, and APIs
“Backend/data engineer who has owned end-to-end production pipelines and data services, processing ~500K–1M records/day from APIs/logs into MySQL and serving via REST APIs. Strong focus on reliability and data quality (ELK + structured logging/monitoring), with measurable improvements (~30% reduction in bad data, ~20% query performance gains) and experience operating external data collection/scraping systems with anti-bot and schema-change resilience.”