AI Platform Engineer

Jobtailor; Massachusetts; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a software engineer to contribute to cloud infrastructure, AI serving layers, and developer tooling. You will work under senior engineers, write tests and documentation, and participate in design reviews to learn our standards.

Applicants should have a CS degree and 2+ years of coding in Python, Go, or Java, with foundational cloud experience across AWS, GCP, or Azure. The role emphasizes collaboration, learning, and growing technical independence.

Qualifications

• Degree in computer science or related field is required.
• Foundational cloud understanding demonstrated via coursework or projects.
• 2+ years of programming experience in Python, Go, or Java.

Responsibilities

• Contribute to cloud infrastructure and AI serving layers under senior guidance.
• Support design and implementation of platform features with tests and docs.
• Participate in design reviews and code reviews to learn engineering standards.
• Take ownership of well-scoped tasks and deliver to production.
• Assist with reliability practices: monitoring, alerts, and incident reviews.
• Build familiarity with governance concepts like access management and audit logging.

Skills

Cloud Computing

Programming Proficiency

Python

Go

Java

Education

Bachelor’s Degree in Computer Science

Software Engineering

Tools

AWS

GCP

Azure

Job description

• Contribute to platform components—cloud infrastructure, AI serving layers, and developer tooling—under the guidance of senior engineers, growing your understanding of how the pieces fit together.
• Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns—writing code, tests, and documentation with regular feedback from your team.
• Learn the team’s engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems.
• Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time.
• Help keep the platform healthy by learning reliability practices—monitoring, alerting, SLOs, and incident reviews—and pitching in on operational work.
• Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers.
• Communicate clearly and ask good questions—sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams.
• Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
• Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification.
• 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc).

Core Competencies

Demonstrates foundational understanding of cloud computing and programming proficiency in languages such as Python, Go, or Java, while actively engaging in platform development and operational practices. Emphasizes collaboration, continuous learning, and adherence to engineering standards in a team-oriented environment.

Highest-signal resume keywords

• Cloud Computing
• Programming Proficiency
• Python
• Go
• Java

ATS Optimization Keywords

Hard Skills

• Cloud Infrastructure
• AI Serving Layers
• Developer Tooling
• Code Writing
• Testing
• Documentation
• Reliability Practices
• Monitoring
• Alerting
• Incident Reviews

Soft Skills

• Clear Communication
• Collaboration
• Mentorship
• Continuous Learning
• Problem-Solving

Certifications & Qualifications

• Bachelor’s Degree in Computer Science
• Software Engineering

Industry Keywords

• Governance
• Compliance
• Access Management
• Audit Logging
• AI Usage Policies

Tools & Technologies

• AWS
• GCP
• Azure