Job description

Dear Candidate, I hope you're doing well and on the path to finding your dream job or mission. Before applying for this position, please take the time to learn about Validus—our mission, culture, and values—by reviewing this document: https://docsend.com/v/8xcb8/validus. You can learn more about the problem we're solving in this article https://www.vanityfair.com/news/story/marc-andreessen-group-chat and this report https://reports.weforum.org/docs/WEF_Global_Risks_Report_2025.pdf. You can also explore potential solutions here https://www.inc.com/kit-eaton/mark-cuban-just-made-a-bold-prediction-about-the-future-of-ai-and-human-interaction/91199380. The role is currently part-time, with the potential for full-time employment once we secure sufficient revenue or external funding, such as investments. Part-time work will be compensated on a deferred basis, to be paid after the company secures revenue or other external funds. At Validus, our team, mission, culture, and values come first. We are committed to delivering unmatched value to our customers, partners, and allies, and we seek individuals who share this vision. You can find more details about the position below. 𝐖𝐞'𝐫𝐞 𝐇𝐢𝐫𝐢𝐧𝐠: 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 Are you an AI/ML Engineer who thrives on building real, scalable AI solutions from scratch? Do you want to be part of a groundbreaking platform where trust, intelligence, and legacy drive innovation? We’re looking for an AI/ML expert to design and deploy AI-driven business matchmaking, fraud detection, and intelligent automation models for a trust-powered ecosystem of high-impact founders and funders. 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: Build AI agents from scratch—from architecture to deployment—focusing on conversational AI, recommendation systems, and trust verification models. Develop LLMs, LCMs and soon LQMs reinforcement learning agents, and retrieval-augmented generation (RAG) systems. Optimize real-time fraud detection, risk assessment, and predictive analytics models for user verification. Implement scalable AI/ML pipelines in AWS/GCP/Azure environments. Work with structured/unstructured data to fine-tune AI solutions and enhance decision intelligence. Continuously explore cutting-edge AI/ML advancements and integrate them into our platform. 𝐖𝐡𝐨 𝐈𝐬 𝐭𝐡𝐞 𝐈𝐝𝐞𝐚𝐥 𝐂𝐚𝐧𝐝𝐢𝐝𝐚𝐭𝐞? This role is for AI engineers who build—not just research, advise, or consult. We are looking for someone who has: A deep tech entrepreneurial mindset and hands-on expertise in deploying AI models at scale. Experience leading and building AI solutions at fast-growing startups or enterprise-level companies. A track record of developing AI/ML solutions that served 5,000+ users in fintech, cybersecurity, investment, or social networking applications. 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬: ✅ 3+ years of professional AI/ML development experience (not consulting or freelance). ✅ At least 2-3 years at two or more companies in full-time engineering roles (short-term, project-based, or contract work does not qualify). ✅ Proven experience building AI agents from scratch—must provide code samples, GitHub links, or detailed project case studies. ✅ Strong expertise in Python, TensorFlow/PyTorch, OpenAI API, Hugging Face Transformers, LangChain, and vector databases. ✅ Knowledge of Go, Rust, C++ is a plus for optimizing AI performance. ✅ Experience designing scalable ML pipelines with MLOps best practices (CI/CD, model monitoring, deployment automation). ✅ Deep understanding of LLM fine-tuning, LCM, LQM, RAG models, embeddings, and knowledge graph integration. ✅ Ability to work with big data, real-time inference models, and GPU acceleration (CUDA, Triton Inference Server). 𝐏𝐥𝐞𝐚𝐬𝐞 𝐍𝐨𝐭𝐞: 🚫 This role is NOT for consultants, advisors, or freelancers. 🚫 We do NOT consider candidates with only short-term (≤6 months) project-based previous experience. 🚫 Proposals from outsourcing firms, HR agencies, intermediaries, or recruiters will be ignored and flagged. 𝐖𝐡𝐚𝐭 𝐖𝐞 𝐎𝐟𝐟𝐞𝐫: Fully remote position with a flexible, high-impact work environment. The opportunity to be part of the founding team and shape AI-driven trust at scale. A mission-driven culture focused on innovation, security, and legacy-building. If you’re ready to push the boundaries of AI and build something truly transformative, we’d love to hear from you.

Requirements