What are the responsibilities and job description for the Applied AI Engineer position at Supio?
Who We're Looking For
We're seeking Applied AI Engineer's to drive and scale the validation of our AI systems. You'll lead a team of applied scientists while staying hands-on, building the measurement frameworks and experimental approaches that ensure our AI systems deliver reliable results.
What You'll Do
As an early-stage startup, we offer a competitive compensation package that includes base salary, meaningful equity, and benefits. Equity grants are designed to ensure employees share in the long-term success and upside of the company.
Base Salary by Location
We're seeking Applied AI Engineer's to drive and scale the validation of our AI systems. You'll lead a team of applied scientists while staying hands-on, building the measurement frameworks and experimental approaches that ensure our AI systems deliver reliable results.
What You'll Do
- Design, build, and deploy ML systems that power core product features—from prototype to production.
- Work across the stack to integrate models into scalable and maintainable infrastructure.
- Conduct rigorous experimentation, data analysis, and performance evaluation to drive improvements.
- Collaborate closely with product, design, and engineering teams to align technical solutions with business goals.
- Mentor junior engineers and help establish best practices for our ML development lifecycle.
- Own projects end-to-end in a fast-paced, agile environment—wearing multiple hats when necessary.
- Stay up-to-date with research and emerging techniques to inform our ML roadmap.
- Expertise in Machine Learning algorithms and LLM architectures
- Python is must have and Typescript is a nice to have
- Experience with developing, fine-tuning, and deploying LLMs and other advanced ML models in production environments. (fine-tuning llm's is a must have)
- Experience with cloud-based platforms and ML infrastructure (e.g., AWS, GCP, Azure) to scale model development and deployment.
- Strong communication skills to explain complex ML and LLM concepts to non-technical stakeholders and influence decision-making at the leadership level.
- Experience producing and working with AI-driven or data-heavy platforms.
- Familiarity with legal technology or products in the legal industry.
- Previous experience in fast-paced startup environments or building products from the ground up.
As an early-stage startup, we offer a competitive compensation package that includes base salary, meaningful equity, and benefits. Equity grants are designed to ensure employees share in the long-term success and upside of the company.
Base Salary by Location
- Seattle, WA: $190,000 – $255,000 annually
- San Francisco, CA: $190,000 - $255,000 annually
Salary : $190,000 - $255,000