We are seeking a hands-on Principal AI Engineer to define technical direction for AI-powered applications and platforms. The role requires designing, building, and deploying scalable backend services in Python while collaborating with frontend engineers using modern JavaScript frameworks. Candidates must have 12+ years of experience with cloud infrastructure (Terraform, AWS/GCP, GitLab) and AI development tools.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Role: AI Python Engineer
Location: 100% REMOTE
Duration: Long Term
W2 Opportunity...
Work Authorization: U.S. Citizens and Green Card Holders highly preferred, all valid work authorizations may apply
Education Requirement - Bachelor s Degree in: Computer Science, Information Technology, Or related field
Minimum 12 Years Of Experience Required...
Need someone with strong Python backend work, solid cloud and Terraform experience, modern frontend exposure, and real use of AI development tools.
Summary: Seeking a hands-on Principal AI Engineer with strong Python backend development, modern frontend experience, Terraform, AWS/GCP, GitLab, and experience using AI-assisted development tools
Required Skills: Python, Vue/React/Angular, Terraform, AWS or GCP, GitLab, CI/CD, cloud-native systems, AI development tools.
Ideal Candidate: Senior/principal engineer with experience designing scalable AI-enabled applications, leading technical decisions, and contributing directly to coding in cross-functional product teams.
We re building an AI-first engineering organization and looking for a Principal AI Engineer to help shape how we design, build, and ship intelligent software. You ll join small, cross-functional product teams made up of software engineers, research scientists, and product managers, and you ll be hands-on from architecture through production code.
This is a high-impact role for someone who loves solving complex problems, cares about clean systems, and is excited to work in an environment where AI tooling is part of the daily workflow.
What You Ll Do
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- Define and influence technical direction for AI-powered applications and platforms.
- Design, build, and deploy scalable backend services and distributed systems in Python.
- Work closely with frontend engineers using modern JavaScript frameworks (Vue preferred; React or Angular also fine).
- Own infrastructure and deployment using Terraform, GitLab, and cloud platforms (AWS and/or GCP).
- Partner with product, research, and engineering leaders to turn ideas into reliable, production-grade solutions.
- Help teams adopt AI-assisted development practices and tools such as Claude, Codex, or GitHub Copilot.
- Mentor other engineers and raise the bar for code quality, architecture, and delivery.
- 12+ years of software engineering experience, with a strong focus on backend development.
- Expert-level Python skills and a solid understanding of APIs, microservices, and cloud-native design.
- Real-world experience with modern frontend stacks (Vue, React, or Angular).
- Hands-on experience with Terraform and Infrastructure as Code.
- Strong cloud background in AWS and/or GCP, including CI/CD, GitLab, and deployment automation.
- Comfortable working in an AI-first environment and using AI coding assistants as part of your daily workflow.
- Proven ability to lead technical initiatives, influence architecture, and collaborate across teams.
- Excellent communication skills and the ability to explain complex systems clearly.
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- Experience building or scaling AI/ML-enabled applications or platforms.
- Background in distributed systems, data platforms, or large-scale enterprise systems.
- A track record of mentoring senior engineers and shaping engineering culture.
- Familiarity with AI governance, security, or ethical AI practices.
You re a principal-level engineer who still enjoys writing code every day. You think in systems, care about scalability and reliability, and you re excited to help an organization move toward AI-first software engineering. You re comfortable leading technical discussions, making architecture decisions, and working directly with product and research stakeholders to deliver meaningful outcomes.
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