Hire the Top 2% of
Remote Ai/Llm Technologies Developers

Ajay N.

Vetted Ai/llm technologies developer in the United States (UTC-4)

Senior AI/ML Engineer specializing in production agentic systems, multi-agent orchestration, and enterprise RAG — building with Claude, GPT-4o, LangGraph, and AWS across HIPAA, FERPA, and GLBA-regulated environments. 7+ years delivering measurable impact: 38% LLM cost reduction at Wells Fargo, hallucination 2%→0.1% at FolderWave, RAGAS faithfulness 0.78→0.88. Open-source: Job Application Automator MCP (3,000+ GitHub stars), 50+ AI projects. Multi-cloud across AWS, Azure, and GCP.

Ajay K.

Vetted Ai/llm technologies developer in Belgium (UTC+2)

AI engineer and cloud architect with 16+ years building and scaling production software systems. I help startups and product teams take LLM features from prototype to production: combining Azure OpenAI, Java, Python, TypeScript, and cloud-native architecture to ship systems that stay reliable under real traffic. I specialise in the engineering layer around LLMs, where most AI projects actually fail: inference isolation so model latency and outages don't take down core services, structured prompt engineering with response validation and guardrails, low-latency service integration, and cost control under variable AI workloads. Alongside that, the fundamentals: LLM-powered APIs, backend services, and event-driven microservices on Docker, Kubernetes, Azure, Kafka, and CI/CD. Currently at Microsoft, bringing enterprise-grade engineering discipline to fast-moving startup environments. I work comfortably in small distributed teams, communicate clearly with technical and non-technical stakeholders, and focus on AI features that reach users rather than demos.

Patrick V.

Vetted Ai/llm technologies developer in the Netherlands (UTC+2)

Principal Software Engineer with 15 years in game development, web applications, and 3D graphics. Contributed to Unreal Engine core at Epic Games. Builds complete production systems from zero and creates technical foundations that teams scale on. Expertise in Unreal Engine C++, blueprint, full-stack TypeScript/React/Node, Three.js, Python scripts, and distributed systems.

Lenworth G.

Vetted Ai/llm technologies developer in the United States (UTC-7)

Principal-level full-stack and AI platform engineer with deep hands-on experience building production SaaS, distributed systems, IoT platforms, and cloud-native applications across Amazon, Verizon, Comcast NBCUniversal, and high-growth technology organizations. Strong across React/Next.js, Node.js, Python, AWS, relational data platforms, multi-tenant architecture, API design, CI/CD, and applied AI/LLM workflows. Experienced owning systems end to end—from frontend and backend architecture through tenant isolation, cloud infrastructure, production operations, security, observability, and AI integrations. Combines enterprise-scale architecture experience with practical engineering execution, including systems supporting millions of connected devices, real-time telemetry pipelines, predictive ML, and production SaaS platforms. Core Skills ----------- React · Next.js · TypeScript · Node.js · Python · Django · AWS · PostgreSQL · MySQL · MongoDB · React Native · REST APIs · Multi-Tenant SaaS · Distributed Systems · Docker · Kubernetes · CI/CD · AI/LLM Integrations · RAG · OpenAI · Machine Learning · IoT · Real-Time Data · API Security

Ravi P.

Vetted Ai/llm technologies developer in the United States (UTC-5)

Applied AI Engineer and full-stack developer with 12+ years of experience building cloud-based platforms, AI automation workflows, and startup products. I have 8 years of experience with Google Cloud Platform, 3 years with Vertex AI / Gemini-style agentic platforms, and 2 years focused on AI engineering and infrastructure development. At Procore Technologies, I designed and implemented AI-powered engineering automation that collects details from Jira tickets, analyzes related repositories, and writes technical findings back into tickets. This improved engineering triage, reduced manual investigation, and gave teams faster context before implementation. At FunNode LLC, my startup company, I built and operated a real-time multiplayer gaming platform with AI-driven gameplay, custom bots, LLM-powered agents, automation systems, payment flows, and cloud-backed infrastructure. This gave me strong hands-on startup experience across product ownership, infrastructure, full-stack development, and rapid iteration. I am comfortable working in fast-paced startup environments where AI systems need to move from prototype to production quickly. My strongest fit is building practical AI infrastructure, agentic workflows, cloud services, APIs, and product-facing AI features using GCP, Vertex AI, Gemini, JavaScript, React, SQL, and related technologies.

MIke G.

Vetted Ai/llm technologies developer in the United States (UTC-5)

Full-Stack Engineer with strong UX and front-end, with 10+ years building production software, specializing in LLM-powered applications and agentic architectures. I design and ship AI-native products, from multi-tenant token billing systems to intelligent automation that transforms unstructured data into actionable insights at scale. Deep expertise in React, Next.js, TypeScript, and the emerging LLM toolchain. I build AI features that ship, not demos. The paradigm has shifted: Software engineering today isn't about frameworks; it's architectural vision for scalable, commercial-grade agentic systems. Developers not leveraging AI tools intelligently to enforce best practices and ship more code are falling behind fast. I'm not writing functions line-by-line. I'm architecting autonomous agents with guardrails, multi-tenant token economics, and production-grade security. If you need a traditional developer, I'm not that person.

Dylan P.

Vetted Ai/llm technologies developer in the United States (UTC-4)

Experienced full-stack web and mobile developer, specializing in JavaScript and Python development. My custom development services are centered on the expansion, improvement, and enhancement of existing web applications. I take a framework-agnostic approach, tailoring solutions based on the specific needs of my clients. With a focus on Python and JavaScript, I bring extensive experience to the table, delivering comprehensive solutions for web application development. I have extensive experience with AI development and LLM tooling. I have built multiple AI enabled applications, integrating with leading AI APIs like OpenAI and Anthropic. I utilize AI development practices, managing agent swarms and custom development patterns to quickly and reliable develop full stack applications.

Luis H.

Vetted Ai/llm technologies developer in the United States (UTC-7)

Senior Full-Stack Software Engineer specializing in SaaS platforms, workflow automation, operational systems, AI-assisted development, and customer-facing products. I design, build, and maintain production software using Next.js, React, TypeScript, Node.js, PostgreSQL, Supabase, Stripe, Playwright, and modern cloud-based tooling. Over the last several years, I’ve architected and delivered full-stack platforms supporting customer onboarding, authentication, role-based access control, scheduling, payments, operational dashboards, realtime workflows, messaging systems, reporting, and business process automation. My work spans frontend architecture, backend systems, database design, API development, infrastructure planning, deployment, and long-term product evolution. A significant part of my recent experience has involved building automation infrastructure and operational tooling, including asynchronous job processing, queue orchestration, external worker services, browser automation, PDF generation, artifact storage, audit-style logging, validation pipelines, and production monitoring. I enjoy solving complex operational problems and turning manual workflows into scalable software systems. Beyond engineering, I bring strong product and UX instincts. I’ve designed customer journeys, onboarding experiences, dashboard interfaces, workflow systems, mobile-first applications, and administrative platforms used daily by customers, operators, and business teams. My goal is always to build software that is not only technically sound but intuitive and valuable for the people using it. I thrive in high-ownership environments where engineers are trusted to solve problems across the stack, move quickly, and help shape products from concept through production. Whether building operational intelligence platforms, workflow automation systems, SaaS products, fintech-style applications, AI-enabled tools, or customer-facing software, I enjoy taking ambitious ideas and turning them into reliable production systems. GitHub: https://github.com/DriveLegal

Gauravjeet S.

Vetted Ai/llm technologies developer in Canada (UTC-7)

I got into frontend because I like beautiful things. Symmetry, clean composition, the satisfaction of something that just looks right. Turns out that's a decent foundation for a career in UI engineering, though these days I spend as much time on the machinery behind the interface as the interface itself. For the past 8 years I've been building at Khalis Foundation, a Sikh nonprofit bringing centuries of culture and scripture to the next generation through technology. That means React and TypeScript on the front, and Express APIs, search infrastructure, Docker, and CI/CD on the back. Some of what we've shipped is used by millions of people. It's the kind of work where the mission actually matters, which makes the late nights easier to justify. Lately I've been deep in AI territory, building LLM pipelines that turn messy source text into something structured and trustworthy. Equal parts exciting and humbling. There's a specific frustration in wrangling language models into behaving consistently, and a specific satisfaction when they finally do. AI is in almost everything I work on now, in one way or another. Outside of code I mentor students through Google Summer of Code, take photos, occasionally doodle things nobody asked for, and have strong opinions about why interfaces shouldn't make you think too hard. Based in Surrey, BC. Always up for interesting problems.

David I.

Vetted Ai/llm technologies developer in Canada (UTC-7)

I’m a senior iOS engineer and founder with 14+ years of experience building mobile apps, developer tools, games, and software platforms. My background spans Swift, Objective-C, UIKit, SwiftUI, architecture, testing, debugging, product strategy, and technical leadership. I help developers understand not just how to write code, but how real software systems are planned, structured, shipped, maintained, and improved over time. I’m especially useful for iOS development, software engineering fundamentals, architecture, code review, debugging, and helping people make sense of unfamiliar codebases. I keep sessions practical, direct, and beginner-friendly. I’m happy to explain concepts from first principles, review code, help plan a learning path, or work through a specific technical problem.