# AI Inference Engineer

**Company:** [Baseten](https://hotfix.jobs/companies/baseten)
**Location:** San Francisco, CA, New York, NY
**Role:** Solutions Architecture
**Salary:** $165k – $330k/yr
**Experience:** 2+ years
**Skills:** Python, Machine Learning, artificial intelligence, ai/ml pipelines, model deployment, production software, Product Management, Project Management, Monitoring
**Posted:** 2026-08-03

> Build and deploy production AI applications for customers, partnering with their engineering teams from initial problem framing through monitoring and expansion. Requires at least two years of professional experience, production programming expertise with Python preferred, and familiarity with ML model development and deployment.

## Job Description

## Responsibilities
- Develop and maintain production-level software systems and product features using general-purpose programming languages, with a preference for Python.
- Design, implement, and deploy AI solutions end-to-end, from problem framing and evaluation through production deployment and monitoring.
- Work directly with customers’ engineering teams across sales, implementation, and expansion.
- Turn ambiguous objectives into clear specifications and well-defined proofs of concept.
- Optimize and enhance AI/ML projects and contribute to improvements in the technical stack.
- Develop features and product requirements with engineering and product teams.
- Own products and customer projects end-to-end, combining engineering, project management, product management, and technical customer success.
- Make sound tradeoffs and select appropriate tools while avoiding unnecessary complexity.
- Demonstrate ownership, accountability, and strong execution.

## Requirements
- Bachelor’s, master’s, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.
- **2+ years of professional work experience** in a fast-paced, high-growth environment.
- Experience with one or more general-purpose programming languages in a production-level environment; Python is strongly preferred.
- Familiarity with AI/ML pipelines and the lifecycle of machine-learning model development and deployment.
- Strong communication skills, particularly when explaining complex technical topics.
- Experience building or optimizing AI/ML projects is highly valued.

## Benefits and Compensation
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employees and dependents.
- Flexible PTO, including a company-wide winter break.
- Paid parental leave.
- Fertility and family-building stipend through Carrot.
- Company-facilitated 401(k).
- Exposure to a variety of ML startups and opportunities for learning and networking.

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