Engineering Intern

Fluency is an adaptive work intelligence platform for AI-first enterprises. Our OS-level agent maps how work actually happens across every application an employee uses, with zero integrations required, then surfaces where AI will deliver real ROI and measures the impact of every transformation initiative. Backed by Accel and trusted by teams at companies like Aon, PVH, Specsavers, and HMH, we're replacing guesswork in enterprise AI adoption with hard evidence.

We're hiring an Engineering Intern for a 13-week internship at our San Francisco office. You'll work at least 3 days per week (8-hour days) on-site, and the schedule is designed to fit alongside your studies if you're currently enrolled.

Rather than hiring into a fixed role, we place interns into one of three tracks based on your skillset and interests, decided together during your first two weeks:

• Product Engineering: Build user-facing features end to end and ship real product to real users, working across the stack with designers and product leads.

• AI Engineering: Work directly with LLMs and agentic systems. Design prompts and evals, build AI-powered features, and improve the model-driven workflows at the heart of our platform.

• AI Platform Engineering: Build the infrastructure that powers our AI systems: LLM data pipelines, agent orchestration, observability, and the tooling other engineers rely on.

Whichever track you land in, you'll have a dedicated mentor, one concrete deliverable per month, a mid-point check-in at week 6, and a final demo to the team in your last week. Strong interns are considered for return offers and full-time roles.

• Ship production code from your first weeks, with code review and mentorship from senior engineers

• Own a scoped project within your track and see it through from design to launch

• Participate in standups, sprint planning, and technical discussions like any other engineer

• Present your work to the broader team at the end of the internship

• Currently pursuing (or recently completed) a degree in Computer Science, Engineering, or a related field, or equivalent practical experience

• Solid programming fundamentals in at least one language (we work primarily in Python and TypeScript)

• Genuine curiosity about AI products and how LLMs are changing how enterprises work

• Ability to work from our SF office at least 3 days per week for the full internship

• Strong communication skills and a bias toward shipping

Nice to have (helps us place you in a track):

• Personal or academic projects involving LLM APIs, RAG, agents, or fine-tuning

• Full-stack or frontend experience (React or similar) for the Product track

• Infrastructure, data pipeline, or LLM orchestration experience for the AI Platform track

• Duration: 13 weeks, with start dates aligned to the current cohort

• Schedule: Minimum 3 days per week, 8 hours per day, on-site in San Francisco

• Compensation: $20 per hour

• Eligibility: Must be authorized to work in the US. We support F-1 students using CPT or OPT. CPT requires university approval, so apply early.

• Age: Applicants must be 18 or older

• Applications open: Monday, July 13, 2026

• Application deadline: Friday, August 14, 2026 (reviewed on a rolling basis, so early applications are encouraged)

• Internship runs: Monday, September 8 to Friday, December 11, 2026 (13 weeks)

Fluency is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Compensation range is provided in compliance with California pay transparency requirements.