Software Engineer Intern- AI/ML at PhrasIQ 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, headquartered in San Francisco, pioneering an AI-powered decision intelligence platform for finance teams. Our flagship product, InSightOS, is a modular, agent-based system that integrates with ERP and CRM platforms to unify data silos into one intelligent environment. With “digital coworkers” like CashFlowBot and SpendWatch, finance teams can get real-time forecasting, anomaly detection, cost analysis, and risk insights. Underpinning this is Loktak, our AI data development platform that accelerates AI workflows through programmatic data generation, automated labeling, knowledge encoding, RAG optimization, and LLM fine-tuning. Together, they give us a unique edge in building trustworthy, enterprise-grade AI systems. Our mission: Empower everyone to solve their most impactful problems through data-centric AI. The Role: Software Engineer Intern- AI/ML We are seeking passionate and curious AI/ML Interns to join our early technical team. As an intern, you’ll contribute directly to the research and development of the multi-agent AI systems, ML pipelines, and enterprise integrations that power PhrasIQ’s products. Responsibilities Work with the AI/ML team to design, prototype, and evaluate ML models for forecasting, anomaly detection, and decision intelligence. Explore and implement RAG pipelines (retrieval-augmented generation) to enable context-aware agent intelligence. Assist in fine-tuning and evaluating LLMs for enterprise-specific use cases. Support the creation of datasets (structured + unstructured) via Loktak for training and evaluation. Collaborate with fullstack engineers to deploy ML models into production workflows. Conduct literature reviews and experiments on multi-agent systems, knowledge encoding, and trustworthiness in AI. What We’re Looking For Strong foundation in machine learning and AI (ML algorithms, deep learning, NLP). Hands-on experience with Python, PyTorch/TensorFlow, scikit-learn, Hugging Face. Familiarity with LLMs, embeddings, vector databases, or RAG frameworks (LangChain, LlamaIndex). Knowledge of data preprocessing, evaluation metrics, and experimentation pipelines. Curiosity, adaptability, and eagerness to work in a fast-paced startup. Bonus if you have: Prior research experience in multi-agent systems, generative AI, or enterprise ML applications. Exposure to cloud ML pipelines (AWS SageMaker, GCP Vertex, or similar). Experience contributing to open-source AI projects. Why Join PhrasIQ? Work at the intersection of AI, data, and enterprise decision-making. Gain hands-on exposure to deep tech: RAG, LLM fine-tuning, multi-agent architectures. Collaborate with a small but elite team of engineers and founders. Be part of real-world pilots with enterprise partners in finance, healthcare, and defense. Potential to transition into a full-time AI/ML Engineer role at our San Francisco HQ. The Future Ahead As an AI/ML Intern, you won’t just be training models—you’ll be helping shape the foundation of enterprise-grade AI systems that redefine how organizations make decisions. This is your chance to get in early at a company building for scale, trust, and impact. Before you apply, please follow our LinkedIn page to keep up with our latest updates.