Caju AI is on a mission to dominate the mobile compliance and AI analytics space—one high-value prospect at a time. We’re already powering capture solutions for global financial giants and top-tier partners like Proofpoint… but we’re just getting started.

We are seeking an innovative, motivated, and hungry AI Engineer to join our dynamic team at Caju AI, a fast-growing startup building cutting-edge solutions in Natural Language Processing and agentic RAG (Retrieval-Augmented Generation) pipelines. This role offers the opportunity to work with state-of-the-art technologies, participate in challenging projects, and help shape the future of intelligent automation.

Responsibilities:

• Develop and optimize NLP / NER solutions for large-scale named entity extraction.
• Build and maintain chatbots for internal data analysis and knowledge retrieval.
• Design and implement semantic search and monitoring for specified entities.
• Architect, build, and deploy agentic RAG pipelines leveraging LangGraph and LangChain.
• Collaborate with team members to deliver high-impact AI solutions.
• Support other AI-related tasks, including hosting on AWS, Lambda API integrations, and more.

Requirements:

• Bachelor’s or Master’s degree in Software Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Proficiency in Python programming language.
• Hands-on experience designing and implementing agentic RAG pipelines (Retrieval-Augmented Generation).
• Strong working knowledge of LangGraph and LangChain frameworks for building advanced language and agentic applications.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Experience with NLP frameworks like NLTK and spaCy.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Solid understanding of a broad range of machine learning algorithms, including supervised, unsupervised, reinforcement learning, and neural networks.
• Practical experience with Natural Language Processing (NLP) tasks.
• Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.
• Intermediate+ written and spoken English.

Optional / Bonus:

• Knowledge of Graph Databases (e.g., Neo4j, Amazon Neptune, etc.).
• Familiarity with ontologies and semantic web technologies.
• Knowledge of Automatic Speech Recognition (ASR) methods.

Why Caju AI?

• We're building something bold: mobile capture + AI insights for regulated industries.
• Work with a team committed to innovation in AI and NLP.
• Opportunity to make a significant impact in a fast-growing startup.
• Flexible work environment, competitive compensation, and career growth opportunities.