Generative AI Engineering Intern

About this role

About the internship: - Contribute to the development of generative AI capabilities for financial planning and analysis applications. - Experiment with modern language model technologies and AI-driven workflows. Engineering responsibilities: - Develop prototypes using retrieval-augmented generation techniques. - Build and test workflows involving autonomous AI agents. - Apply large language models to FP&A-related business use cases. - Collaborate with product specialists to identify opportunities for AI features. - Coordinate with engineering colleagues to incorporate AI functionality into the platform. - Apply computer science fundamentals when implementing technical solutions. - Design algorithms and data structures with efficiency in mind. - Consider system scalability during development activities. - Maintain clear technical documentation describing completed work. - Prepare workflow diagrams to explain system behavior. - Present project findings and technical outcomes to colleagues. - Complete end-to-end implementations that demonstrate engineering and problem-solving abilities. Required qualifications: - Be pursuing or have recently completed a Computer Science degree or a related qualification. - Have sound knowledge of data structures, algorithms and system design. - Demonstrate strong analytical reasoning and practical problem-solving ability. - Understand LLMs, RAG architectures and agent-based AI concepts. - Have experience creating complete AI/ML or related technical projects. - Possess effective written and spoken communication skills. Preferred qualifications: - A portfolio featuring completed generative AI, RAG or agentic workflow projects is advantageous. - Familiarity with modern AI frameworks, cloud services and API integrations is preferred. Eligibility and application: - Eligible batches are 2024, 2025, 2026 and 2027. - The internship is remote, with a monthly stipend of 25,000 to 40,000. - Send your application to careers@drivetrain.ai.