AI Applications & Automation Engineer

AI Applications & Automation Engineer

New Grad / Class of 2026

Location:  Burbank, CA (On-site)

Team:  E-commerce & Engineering

Role Type:  Full-time (Entry-Level / New Graduate)

Salary Range: $70,000--$90,000, DOE

About the Role

Are you graduating this spring with a degree in Computer Science, Data Science, or a related field, but find traditional software engineering roles a bit slow? Have you spent the last two years using AI coding assistants and LLM APIs to build cool projects at 10x the speed of traditional coding?

FilmTools is looking for an entry-level AI Applications & Automation Engineer to join our small development team. We aren’t building standard corporate databases from scratch — we’re using Agentic AI to completely transform the professional film and video retail industry.

You don’t need five years of corporate experience for this role. You need an aggressive builder mentality, an obsession with the latest AI developer toolchains, and a desire to see the code you write directly impact a multi-million-dollar e-commerce platform. You’ll work alongside our senior AI architect, building on the data platform they own and shipping the automations that real teams here use every day.

Core Outcomes You Will Own

• Automated Catalog Enrichment. Write Python scripts to pull unstructured technical data from messy manufacturer PDFs and manuals, using LLMs to extract clean, structured attributes (e.g. JSON) for our gear catalog.
• Internal Workflow Optimization. Build internal scripts and tools to automate the repetitive work — e.g. category assignments, vendor-asset matching, and product-listing anomaly detection — and help our sales, accounting, and warehouse teams shed the manual steps that slow them down.
• Semantic Search Prototyping. Build local sandboxes and proofs-of-concept using vector databases to show our senior engineers how we can deliver conversational, context-aware search for production crews.
• Keep the Team Ahead. Act as our resident AI researcher — tracking new open-source models, toolchains, and embedding techniques that can save us compute cost and build better data pipelines.

Toolkit Requirements

• Strong Python & scripting skills. You love writing scripts to scrape data, clean text, and transform unstructured files into structured data.
• Native AI API literacy. You treat LLM APIs like a standard utility. You understand structured outputs, embeddings, and basic RAG concepts.
• A hackathon or side-project portfolio. You have a GitHub or portfolio showing functional projects you built outside of standard classroom assignments — custom bots, AI automations, personal scrapers, that kind of thing.
• The “AI multiplier” mindset. You leverage AI coding assistants to write code, debug errors, and document work fast.

What We Don’t Care About

• Whether you memorized advanced calculus formulas.
• Certifications or theoretical AI papers. We build practical applications using existing APIs; we don’t train custom base models.

How to Apply

We don’t want a standard corporate resume. Send us a link to your GitHub, a project you built for a hackathon, or a tool you put together for fun.

The Interview Challenge: Tell us exactly what Python libraries, OCR tools, and prompt structures you’d use to convert a chaotic, text-heavy 50-page camera equipment manual into a clean, searchable database file.

FilmTools is an equal opportunity employer.