PhrasIQ

Build and optimize AI/ML models including LLMs and RAG pipelines for enterprise decision intelligence, deploy and scale AI models in production. | 3+ years ML/AI experience with Python and ML frameworks, hands-on LLM fine-tuning and RAG experience, familiarity with vector databases and embedding models. | 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.

Design and build core product features across frontend, backend, APIs, and integrations, supporting AI-powered enterprise finance tools. | Strong foundation in fullstack development, familiarity with databases and cloud platforms, passion for AI/ML, and excellent problem-solving skills. | Location: Remote (potential transition to full-time at San Francisco HQ) Type: Internship (Unpaid, with potential full-time offer) About PhrasIQ PhrasIQ is building the next chapter of enterprise AI. We are a fast-growing, venture-backed startup headquartered in San Francisco, pioneering an AI-powered decision intelligence platform for finance teams. Our flagship product, InSightOS, is a modular, multi-agent system that integrates seamlessly with ERP and CRM platforms, unifying siloed tools and data into one intelligent environment. Think of us as creating “digital coworkers” for finance teams- agents that deliver instant, trustworthy insights for forecasting, anomaly detection, cost analysis, and risk management. We’re operating at the cutting edge of deep tech, with a platform that combines advanced AI/ML pipelines, RAG architectures, LLM fine-tuning, and programmatic data generation through our data development platform Loktak. Our vision is to reshape how enterprises make decisions, starting with finance, and expanding into healthcare, defense, and other high-impact industries. The Role: Fullstack Intern We are looking for a passionate and ambitious Fullstack Intern to join our early team. This role is ideal for someone who thrives in fast-paced startup environments, wants to work on high-impact problems, and is eager to contribute to the next generation of enterprise AI platforms. As a Fullstack Intern, you will work closely with our engineering and product teams to: Design and build core product features across the stack (frontend, backend, APIs, and integrations). Develop clean, scalable, and modular code that powers our multi-agent AI system. Contribute to building plug-and-play APIs that integrate with ERP/CRM systems. Support real-time analytics dashboards and agent personas used by finance teams. Collaborate with AI/ML engineers to operationalize AI models into production workflows. Explore best practices in security, scalability, and enterprise-grade deployments. This internship is more than just coding tasks- you’ll have the opportunity to help shape the foundation of a platform that enterprises will rely on for data-driven, mission-critical decisions. What We’re Looking For Strong foundation in fullstack development (JavaScript/TypeScript, React, Node.js, or similar). Familiarity with databases (SQL/NoSQL), API design, and cloud platforms (AWS/GCP/Azure). Passion for AI/ML, enterprise systems, and cutting-edge technology. Curiosity, adaptability, and ability to thrive in ambiguous, fast-changing environments. Excellent problem-solving and communication skills. Bonus if you have: Experience with AI/ML integrations (LLM APIs, vector databases, RAG pipelines). Exposure to enterprise systems (ERP, CRM, finance software). Contributions to open-source projects or prior startup experience. Why Join PhrasIQ? Work at the intersection of AI, enterprise, and decision intelligence. Gain hands-on experience with deep tech- LLMs, multi-agent systems, and scalable fullstack development. Learn directly from experienced founders and a growing engineering team. Be part of a fast-moving startup with strong investor interest and design partners. Opportunity to transition into a full-time role at our San Francisco HQ after internship. The Future Ahead At PhrasIQ, you won’t just be writing code- you’ll be helping define the architecture of tomorrow’s enterprise AI systems. This is your chance to join a company on the ground floor, building technology that could redefine how enterprises think, decide, and act. Before you apply, please follow our LinkedIn page to keep up with our journey.