Software Engineer

About the Role Join InstaLILY as a Software Engineer to build and scale our AI agents platform in a client-facing role. You’ll collaborate with cross-functional teams to design, implement, and ship features that operate inside enterprise customer systems, while contributing to a culture of continuous learning. Based in New York City or San Francisco, you’ll work closely with the Lead Software Engineer and Head of Product to drive technical excellence across the organization. What You'll Do

• Develop InstaLILY’s AI platform and drive technical excellence throughout the organization

• Work closely with cross-functional teams (product, UI/UX, business development, growth) 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 What We're Looking For

• 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.

• Nice to Have

• 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) Compensation & Benefits

• Salary Range: $100,000 - $120,000 per year, commensurate with experience

• Equity: Generous stock options awards, and refreshers for top performers

• Benefits: Medical, Dental, Vision, 401K, in-office Lunch reimbursement, Wellbeing Stipend, Generous Parental leave, PTO and 10 US Federal Holidays, and more!