Remote AI Workflow Engineer Intern

Time Seventeen; San Francisco (CA); Remote; USD 120,000 - 180,000; Full time

Job summary

Time Seventeen is building focused AI workflows that turn research ideas into practical tools for event analysis and risk infrastructure. You will work on the engineering path from an AI prototype to a dependable workflow, including document ingestion, retrieval, structured extraction, tool integration, and interfaces exposing the evidence behind outputs.

You will collaborate with research and product on bounded projects with clear users and acceptance criteria, iterating on latency, cost,

Qualifications

• Practical Python or TypeScript experience and ability to build working applications.
• Familiarity with APIs, databases, version control, and basic software testing.
• Experience experimenting with language models, retrieval, or other AI tooling.
• Interest in reliable systems and evidence-based evaluation.
• A project or code sample demonstrating contribution and learning.

Responsibilities

• Build small services and workflows around model APIs, retrieval systems, and structured event data.
• Implement input validation, output schemas, retries, error handling, and useful logging.
• Create evaluation cases for factual support, extraction accuracy, and workflow completion.
• Measure latency and cost and investigate bottlenecks without obscuring quality tradeoffs.
• Connect prototypes to usable APIs or interfaces and document their dependencies.
• Review code with engineering colleagues and help turn validated experiments into reusable components.
• Test behavior on missing or untrusted source content, keep secrets out of logs, and document access boundaries.

Skills

Python

TypeScript

APIs

Databases

Version control

Software testing

Language models

Retrieval systems

Evidence-based evaluation

Asynchronous reasoning

Job description

Time Seventeen is building focused AI workflows that turn research ideas into practical tools for event analysis and risk infrastructure. You will work on the engineering path from an AI prototype to a dependable workflow, including document ingestion, retrieval, structured extraction, tool integration, and interfaces exposing the evidence behind outputs.

You will collaborate with research and product on bounded projects with clear users and acceptance criteria, iterating on latency, cost,