Instalily AI Software Engineer II at InstaLILY develops the AI platform and leads technical discovery with enterprise customers. The role involves collaborating with cross-functional teams and mentoring junior engineers.
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
Lead technical discovery with enterprise customers and partner with the Growth team; translate complex real-world workflows into a shipped product.
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
Mentor junior engineers: pair on hard problems, review code thoughtfully, and help them level up
Qualification
Bachelor’s in CSStrong communicationIn-office availabilityAI-seriousProven productAI-nativeStageGlobalCultureGrowth
Required
Bachelor’s in CS, engineering, math, physics, or related: demonstrated ability matters more than credential
1–3 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
Solid grasp of system design fundamentals (e.g., API design, data modeling, async patterns, caching, and queues)
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.
Preferred
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)
Proven product: Customers are live; this isn’t a bet on an unproven thesis
AI-native: In how we build, how we work, and what we sell
Stage: Early enough to shape how the company scales
Global: Based in New York with offices in SF and London
Culture: Sharp, low-ego team that keeps raising the bar