PhrasIQ

Compensation

Full Description

Location: Remote (Preferred: USA) | Commitment: Full-time | Founding equity + performance upside(Salary starts post current round) Industry: AI, Data Intelligence, Enterprise Software Join PhrasIQ – Build the Future of AI-Powered Decision Intelligence. At PhrasIQ, we’re building InSightOS, an AI-powered decision intelligence platform designed to help enterprises make real-time, data-driven decisions. We are developing cutting-edge AI models that optimize decision-making, automate workflows, and enhance enterprise intelligence. We’re assembling an elite founding team to launch our MVP in weeks, not months. This is your chance to build production-grade AI models from scratch, working alongside a world-class team of AI and data experts. Why You Should Join Now • Be a founding AI engineer – take ownership of AI/ML models powering decision intelligence. • Work on cutting-edge AI – including LLMs, RAG pipelines, reinforcement learning, and AI-driven automation. • Significant equity – join early and own a meaningful stake in a high-growth AI startup. • Competitive Bay Area salary coming soon – as we finalize funding, we will move to top-tier compensation. Join now, shape the future, and be among the first to build something massive. What You’ll Do Build and optimize LLMs, RAG pipelines, and AI-driven automation models for enterprise intelligence. Develop ML pipelines that handle data ingestion, feature engineering, and model deployment. Fine-tune large models (GPT, LLaMA, Mistral, Claude, etc.) for specialized enterprise applications. Experiment with multi-agent AI architectures to enhance decision intelligence. Work on vector search, embeddings, and knowledge graph integration. Deploy AI models into production and optimize them for performance and scalability. What We’re Looking For 3+ years of experience in ML/AI (NLP, deep learning, reinforcement learning, or related fields). Strong experience with Python, PyTorch, TensorFlow, or JAX. Hands-on experience with LLM fine-tuning, retrieval-augmented generation (RAG), or AI agents. Familiarity with vector databases (Pinecone, FAISS, Weaviate), embedding models, and search optimization. Bonus: Experience with multi-agent systems, AI-powered enterprise applications, or distributed AI architectures. What You Get Significant equity – be an early team member with a high-impact role. A founding role – shape the AI/ML strategy from day one. Competitive salary in the near future – we plan to offer top-tier Bay Area compensation after securing funding. A team of world-class AI builders – work alongside AI, ML, and data experts pushing the boundaries of decision intelligence. Who We Want We’re looking for AI pioneers who: Love building real-world AI models with massive impact. Thrive in fast-paced startup environments. Want to be part of something transformative in AI. This isn’t just a job—it’s an opportunity to define AI-driven decision-making for the enterprise world. If you’re ready to take ownership and build something groundbreaking, let’s talk.