About the company
At PINTU, We are building the #1 crypto investment platform to focus on new investors in Indonesia and Southeast Asia. We know that 99% of new investors are underserved because existing solutions cater to the 1% who are pros and early adopters hence we built an app that helps them to learn, invest and sell cryptocurrencies with one click away.
Job Summary
In this role, you will:
šDesign, develop, and deploy LLM-powered systems and AI agents. Integrate with third-party LLM APIs (e.g., OpenAI, Gemini, Anthropic) and utilize open-source models. šDevelop knowledge bases by utilize vector embedding and vector db. šImplement RAG, MCP, and advanced prompt engineering to personalize model behavior and improve model performance. šFine-tune pre-trained models on custom datasets to improve performance on specific tasks. šEstablish or implement frameworks to evaluate, test, and iterate on AI model/agent performance and ensure robustness. šCollaborate cross-functionally with product managers, analysts, and other engineers to identify high-impact use cases and gather requirements. šDocument models, methodologies, and experiments to share knowledge internally. šStay updated on the latest advancements in AI, LLMs, and related technologies to propose innovative solutions.
Who We Are Looking For
šBachelor's or Masterās in Computer Science, Data Science, Machine Learning, or related fields. š2+ years of professional experience in a relevant role (AI Engineer, ML Engineer, Data Scientist, or Data Engineer), with hands-on experience with LLMs and Generative AI. šStrong proficiency in Python and its key ML/Data libraries (e.g., PyTorch, TensorFlow, Scikit-learn). šHands-on experience with AI frameworks like LangChain or CrewAI and familiarity with LLM APIs (OpenAI, Gemini, Anthropic, etc.). šSolid understanding of NLP fundamentals, embedding models, RAG pipelines, and fine-tuning.
If youāre passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.
