AI Engineer
Quick Summary
Please Note: This role is in-office in San Francisco at our headquarters, working with the entire company five days per week. We are not open to remote candidates.
Strong background in machine learning, deep learning, and natural language processing (NLP).
Proven experience with frameworks like PyTorch or TensorFlow, and proficiency in Python.
Hands-on experience deploying ML models into production environments.
Familiarity with LLMs (e.g., OpenAI, Hugging Face) and fine-tuning for real-world use cases.
Our team is lean and moves quickly. You’re comfortable experimenting, iterating, and shipping fast.
You take ownership end-to-end — from prototyping models to deploying and monitoring them in production.
You’re not just looking for a job; you’re seeking a challenge.
You’re passionate about applying AI to solve real business problems.
You want to build practical, customer-facing applications of AI rather than just research.
You’re eager to collaborate cross-functionally with engineering, product, and design in a fast-paced startup environment.
Think you’re the perfect fit? We’re excited to meet you! Reach out, share your story, and let’s explore how you can bring intelligence to Campfire’s mission.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- August 28, 2025
- First seen
- May 6, 2026
- Last seen
- May 7, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 25%
- Scored at
- May 6, 2026
Signal breakdown
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