Full-Time

Software Engineer 1

General

Posted on 7/14/2026

InstaLILY

InstaLILY

Compensation Overview

$100k - $120k/yr

+ Equity

San Francisco, CA, USA + 1 more

More locations: New York, NY, USA

Hybrid

Offices in New York City and San Francisco; 5 days/week on-site for first 6 months, then 4 days in office with 1 day remote.

Category
Software Engineering (1)
Required Skills
LLM
Python
Machine Learning
RAG
TypeScript
DevOps
Requirements
  • Bachelor’s in CS, engineering, math, physics, or related: demonstrated ability matters more than credential
  • 0–1 years as a software engineer (strong candidates have shipped something with real users)
  • Strong fluency in at least one backend language (Python, TypeScript, or similar) and a modern web stack
  • AI-serious: you’ve built something with LLMs (a RAG system, an agent, a fine-tuned model, a real integration)
  • Strong communication: you can explain what you built and why you built it that way to non-technical audiences
  • Strong problem-solving and analytical thinking
  • In-office availability: 5 days/week in our New York or San Francisco office for your first 6 months, then 4 days/week in person with 1 day remote.
Responsibilities
  • Develop InstaLILY’s AI platform and drive technical excellence throughout the organization
  • Work closely with cross-functional teams (product, UI/UX, business development, growth) and key business stakeholders to design and implement new features and capabilities
  • Partner with the Growth team during customer deployments: understand workflows, defend architectural decisions, and iterate on feedback
  • Raise quality and reliability through comprehensive testing and CI/CD practices
  • Build a rapport with the Lead Software Engineer and Head of Product while fostering a culture of continuous learning and improvement
  • Collaborate with the product and design teams to deliver high-quality products that meet customer needs
  • Stay up-to-date with the latest AI and software engineering trends and technologies
Desired Qualifications
  • Production experience with cloud infrastructure (AWS, GCP, or Azure) and CI/CD pipelines
  • AI-serious: you’ve built something with LLMs (a RAG system, an agent, a fine-tuned model, a real integration)

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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