Strategies.beer is hiring an AI Engineer to build applied AI solutions for clients — real operational tools, not AI-for-the-headline projects.
What You’ll Do
- Design and build AI-powered tools and automations scoped to a specific client operational problem — content workflows, data pipelines, customer-facing tools, and internal automation
- Work with LLMs and applied machine learning in production, not just notebooks — this role ships things people actually use
- Partner with strategists and developers so AI features fit into a real product or campaign, not bolt on as a gimmick
- Keep systems maintainable — you’ll often be the only engineer on a given project, so clear code and documentation matter
What We’re Looking For
- 3+ years building production software, with real experience shipping AI/ML features — not just personal projects
- Comfortable working with LLM APIs, prompt engineering, and integrating AI into existing systems
- Solid Python, and enough full-stack familiarity to ship a feature end-to-end when needed
- Bonus: experience with MLOps, fine-tuning, or building automation for marketing/content workflows specifically
Details
- Location: Remote — work from anywhere
- Type: Full-time
- Compensation: $95,000–$145,000/year, based on experience
How to Apply
Send your resume and a link to something you built (a repo, a live tool, anything real) to contact@strategies.beer. We’d rather see one real project than a list of frameworks.
