Generative AI Engineering Intern

Drivetrain; United States; Remote; USD 279,000 - 446,000; Full time

Benefits offered by this job

Remote work

Monthly stipend

Job summary

Drivetrain is offering a remote AI internship for students or recent CS graduates to contribute to the development of generative AI capabilities for financial planning and analysis applications. You will prototype retrieval-augmented generation and test autonomous AI workflows.

Work with product and engineering teams to apply LLMs to FP&A use cases, document solutions clearly, and present findings to colleagues. Eligible batches are 2024–2027, with a monthly stipend of 25,000 to 40,000 USD.

Qualifications

• Pursuing or recently completed CS degree or related field.
• Solid knowledge of data structures, algorithms and system design.
• Strong analytical reasoning and practical problem-solving ability.
• Understand LLMs, RAG architectures and agent-based AI concepts.
• Experience creating complete AI/ML or related projects.
• Effective written and spoken communication skills.

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 CS 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.

Skills

Data structures

Algorithms

System design

Analytical thinking

LLMs & RAG

AI projects

Communication

Education

CS degree or related field

Job description

Batch: 2024/2025/2026/2027.

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.