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Sadok Aziz Ben Younes — AI & LLM Engineer
AI & LLM engineer building multi-agent architectures, RAG systems and production-grade software: streaming voice pipelines, computer vision services, and the...
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86 % |
|
Ranjan R. Lamichhane
Staff/Principal engineer building AI infrastructure and developer platforms — build/test fleets, CI/CD, model-validation pipelines, and observability.
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85 % |
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Lava Kumar Koyi — Forward Deployed AI Engineer
Lava Kumar Koyi — Forward Deployed AI Engineer building production LLM-powered applications, RAG systems, and agentic AI for Fortune 500 enterprises.
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84 % |
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Dan Richardson - Staff Applied AI & Platform Engineer
Dan Richardson is a Portland Staff Applied AI & Platform Engineer with decades of engineering and production software experience. Since January 2026, he has...
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84 % |
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Richard Hensler · Founding engineer, AI-native product builder
Founding engineer for AI-native products. Twenty years shipping software across the US and Europe, now taking AI products from idea to working pilot.
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84 % |
|
Jeremy Lancaster — Production AI Systems Engineering
Principal software engineer helping organizations deploy AI systems that are reliable, observable, and running on infrastructure they control.
|
84 % |
|
Ivan Mir Arroyo — AI & Software Architect
Software Architect & AWS Cloud Professional. I help companies bring LLMs and agents to production without breaking what already works.
|
84 % |
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Inspace Labs | AI Engineering & LLM Product Builds
We ship AI into production. Agents, LLM features inside your product, and the backend engineering around them. Code in your repo, not slide decks.
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84 % |
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César Noreña — engineering for AI and fintech products
I help product teams put AI into production, and build the mobile and backend systems it runs on. Ten years on staff at Nubank, iFood and Cabify.
|
84 % |
|
Saurabh Singh | Software Engineer & AI Toolmaker
Software engineer. Building autonomous developer tools.
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84 % |
|
AI Agents, Automation & Custom Software Development
The Core Squad engineers AI agents, business automation, LMS platforms, web & mobile apps, and growth systems for teams who need measurable outcomes, not jus...
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84 % |
|
Rainbow After Storm: AI & LLM Engineering Consultancy
Production-grade AI and multi-agent systems, shipped. The independent AI/LLM engineering practice of Xun (Mac) Huang, Toronto.
|
84 % |
|
Flying Colours Consultancy | Product Engineering & AI Studio
Senior engineers who build AI end-to-end — the infrastructure it runs on, the applications your customers use, delivered at AI-accelerated speed.
|
84 % |
|
Software 407 LLC | Fractional CTO and lead engineer for startups
Software 407 LLC builds and operates the backend behind AI products: retrieval, evaluation, and the checks that keep generative models truthful and reliable...
|
84 % |
|
Mohamed Achaq | Software Engineer & AI Solutions Architect
Senior software engineer and AI solutions architect building production systems, AI products, and open-source developer tools.
|
84 % |
|
Rizq Khateeb | Software Engineer & AI Systems Builder
Rizq Khateeb is a software engineer and AI systems builder focused on testing infrastructure, LLM evaluation, full-stack tools, and applied machine learning.
|
84 % |
|
Andy Dixon | Software Engineer, Applied AI & Security
Andy Dixon: software engineer specialising in applied AI, security and infrastructure. 29 years building systems that hold up. Open to remote roles worldwide.
|
84 % |
|
Galdrcode LLC-FZ · Backend & AI Systems Engineering
Galdrcode LLC-FZ is an independent software company. Backend and AI systems architecture for companies, plus my own PC games, mobile apps, and Unity Asset St...
|
84 % |
|
Sprite — Full-stack engineer · AI, automation, cross-platform
Full-stack and systems-integration engineer, 17 years, now focused on AI. I help companies adopt AI — multi-agent systems, fleet-scale automation. Open to re...
|
84 % |
|
Tensorika — The lean powerhouse for applied AI.
Applied-AI engineering: LLM-powered software, business automation, and the data infrastructure that makes them dependable. Four humans, twenty-four AI specia...
|
84 % |
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