Pylon

Software Engineer (AI Infra)

Pylon6 months ago
Location

San Francisco

Type

Full Time

Salary

USD 180,000 – 300,000

Level

Senior

Role

Software Engineer

Posted

Sep 12, 2025

Full TimeSenior

The role

Summary

Pylon is seeking a talented Software Engineer specializing in AI Infrastructure to help build and scale their innovative B2B post-sales support platform. The ideal candidate will develop cutting-edge AI features, improve LLM observability, and contribute to the platform's technical infrastructure with a focus on autonomy, efficiency, and high-impact engineering.

What you'll do

AI Infrastructure Development: Build and optimize platforms powering Pylon's AI features, including prompt execution systems and search infrastructure
LLM Observability: Develop and implement AI evaluation mechanisms, including online and offline assessment tools and performance scorers
AI Feature Enhancement: Continuously improve the quality and performance of AI-driven features to support next-generation scaling

What we look for

Technical

Programming LanguagesStrong proficiency in React, Golang, and GraphQL
Cloud InfrastructureExperience with AWS cloud services and infrastructure
AI and Machine LearningUnderstanding of Large Language Models (LLMs), AI infrastructure, and observability tools

Education

Computer ScienceBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Engineering ExperienceProven track record of building scalable software systems with a focus on AI and infrastructure

Skills

Required skills

Technical AutonomyAbility to self-manage, project manage, and take ownership of complex technical initiatives
Code EfficiencyDemonstrated ability to write clean, efficient, and maintainable code

Nice to have

Startup ExperiencePrevious experience in high-growth, fast-paced startup environments
AI Product DevelopmentExperience in developing AI-driven product features and infrastructure

Compensation & benefits

Salary

USD 180,000 – 300,000 (annual)

Stock options

Available

Benefits

Medical Insurance

Fully covered medical, dental, and vision insurance

Retirement Plan

401(k) retirement savings plan

Commuter Benefits

Commuter benefits to support transportation costs

Parental Leave

Comprehensive parental leave policy

Paid Time Off

14 company holidays and unlimited PTO

Annual Offsite

Company-sponsored annual team offsite event

Meals

Lunch, dinner, and snacks provided at the office

Fitness Stipend

Fitness and wellness stipend


Interview process

  1. 1
    Initial Screening Phone or video call with recruiting team to assess candidate background and fit
  2. 2
    Technical Assessment Coding challenge or technical interview focused on AI infrastructure and software engineering skills
  3. 3
    Onsite/Virtual Interviews Multiple interviews with engineering team members, including technical discussions and system design evaluation
  4. 4
    Final Interview Meeting with senior leadership to assess cultural fit and overall alignment with company vision

Apply for this position

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