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Vetted Go Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Developer specializing in web and mobile applications
Entry Full-Stack Engineer specializing in Next.js/React and real-time analytics
Mid-level Software Systems Engineer specializing in cloud infrastructure and AI applications
Mid-level Full-Stack Engineer specializing in backend systems and AI integration
Junior Generative AI Engineer specializing in LLM systems and RAG
Mid-level Database Developer specializing in SQL, ETL, and cloud data platforms
Entry-Level Software Engineer specializing in healthcare data and AI-enabled tools
Mid-Level Software Engineer specializing in distributed microservices and cloud-native systems
Mid-Level Full-Stack Software Engineer specializing in AI automation and RAG agents
Mid-level Back-End Engineer specializing in scalable APIs and multi-tenant systems
Intern Full-Stack Developer specializing in React, Node.js, and TypeScript
Junior Full-Stack Software Engineer specializing in logistics and IoT systems
Junior Full-Stack Developer specializing in Django/React and cloud-native APIs
Entry-level AI/ML Engineer specializing in RAG and conversational AI
Senior Full-Stack Developer specializing in AI-driven SaaS and real-time analytics
“Full-stack AI engineer who has built and deployed multiple end-to-end LLM products, including an AI interview assistant, a multi-agent market research platform, and a policy document explainer. Particularly strong in productionizing agentic workflows, integrating tools like Whisper, Tavus, LiveKit, CrewAI, and LangGraph, and hardening messy real-world AI/document pipelines with validation, memory isolation, and fallback handling.”
Mid-level Generative AI & ML Engineer specializing in LLMs, RAG, and MLOps
Tejaswi devarapalli
Junior Software Engineer specializing in backend systems and AI infrastructure
“Built both a full-stack AWS file-processing pipeline and a production AI document Q&A system ('smart-doc'). Stands out for combining strong cloud engineering with practical LLM/RAG architecture, including hybrid retrieval, reranking, structured outputs, confidence-based retries, and production monitoring.”
Kealan Doherty
Junior Software Engineer specializing in full-stack web and AI applications
“Early-career backend developer building an Arc Raiders game-data API end-to-end in Go on AWS with PostgreSQL, making their first real deployment and learning system design hands-on. Also built an AI resume and cover letter generator using Gemini and has experience debugging open-source code and managing PRs in a capstone team project.”
“Recent graduate who independently built scholar.ai from scratch in roughly two weeks, shipping a full multimodal ingestion, retrieval, and grounded Q&A system for students. Also created Anchor SDK, an open-source framework for runtime hallucination detection and recovery, showing unusually strong depth in production LLM systems, evals, and reliability for an early-career candidate.”
Deep Patel
Intern Application Security Engineer specializing in cloud and container security
“Application security engineer/advisor with hands-on experience securing AWS-based, containerized services and embedding SAST/DAST/SCA and container scanning into GitHub/GitLab CI/CD. Drove measurable outcomes (50% faster vuln triage, 40% fewer misconfigs) and has deep operational troubleshooting experience in Kubernetes (agent failures due to CPU throttling/network policies), plus pragmatic strategies to reduce developer friction and handle API rate limits.”