InstaLILY is a New York-based AI startup working at the cutting-edge of agentic AI. We build autonomous agents at the frontier of enterprise software, machine intelligence, and human-AI collaboration.
Backed by Insight Partners ($25M Series A) and supported by the Google, NVIDIA, and Microsoft ecosystems, we are one of the fastest-growing AI startups in the country. Our team has already driven over $200M in incremental revenue for customers to date. InstaLILY's architecture has been featured in Google DeepMind's case study showcase.
As a Software Engineer II at InstaLILY, you’ll join a team drawn from top-tier university programs. You’ll develop our AI agents platform and drive technical excellence across the org. You’ll work closely with the Lead Software Engineer and cross-functional teams to design and implement new features and capabilities, and help build a culture of continuous learning as we grow.
This role is client-facing. You’ll build and ship AI agents that operate inside our customers’ systems, and you’ll be in regular working sessions with stakeholders at enterprise customers. You need to code at a high bar and communicate decisions clearly.
- Develop Instalily's AI workflow platform, and plan, initiate and manage information technology
projects to drive technical excellence throughout the organization. - Analyze user needs and develop software solutions, applying principles and techniques of
computer science, engineering, and mathematical analysis. - Work closely with cross-functional teams (product, UI/UX, business development) to design and
implement new features and capabilities. - Understand the expected quality and reliability of the platform through comprehensive testing and
continuous integration/continuous delivery (CI/CD) practices. - Build a rapport with the Head of Product and CEO 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.
Responsible for building a culture of continuous learning and improvement.
Position requires 1 year of experience in the following:
- U.S. Bachelor's degree or foreign equivalent in Computer Science, Engineering, a Mathematical field, or a related field, and 1 year of experience in the job offered, as a Software Engineer, or in a Software Engineering Lead-related occupation.
- Experience or demonstrated understanding of AI and machine learning technologies, and
experience in rapid prototyping to rigorous offline/online evaluation, A/B testing, and continuous
model retraining in production. - Experience with Python, JavaScript, or similar programming languages.
- Experience with cloud computing technologies including AWS, Azure, or GCP, and using
infrastructureascode (Terraform), containers (Docker), orchestration (Kubernetes), and serverless
patterns. - Experience delivering production-ready AI/ML products, including intelligent applications, data
pipelines for machine learning, or scalable AI services. - Experience collaborating with internal teams and external stakeholders to design, build, and
productionize well-documented systems for internal business objectives and client needs. - Experience with ML infrastructure (model deployment, feature storage, model versioning,
automated testing, drift detection, performance monitoring, model evaluation, optimization, and
data processing). - 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.
- 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
- Growth: The learning curve is steep
- Salary Range : $130,000 - $140,000 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!
Join InstaLILY and build autonomous agents that matter. If you want a role where your code ships into real enterprise systems and where you’re in the room with customers, we want to hear from you.
To ensure a focused, high-quality hiring experience, we kindly ask candidates to limit their applications to 3 open requisitions at any given time. Applying strategically to roles that best align with your skills and career goals gives you the highest chance of standing out. Have you interviewed with us in the past 12 months? We encourage you to reach out directly to your previous interviewer rather than submitting a new application.
Instalily is committed to providing an inclusive and barrier-free recruitment process. If you require an accommodation, please let us know, and we will work with you to meet your needs.
Skills Required
- Minimum 1 year of experience with AI/ML technologies, rapid prototyping, offline/online evaluation, A/B testing, and continuous model retraining in production
- Experience with Python, JavaScript, or similar programming languages
- Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code (Terraform)
- Experience with containers and orchestration (Docker, Kubernetes) and serverless patterns
- Experience delivering production-ready AI/ML products, including intelligent applications, data pipelines, or scalable AI services
- Experience collaborating with internal teams and external stakeholders to design, build, and productionize well-documented systems
- Experience with ML infrastructure: model deployment, feature storage, model versioning, automated testing, drift detection, performance monitoring, model evaluation, optimization, and data processing
- Client-facing communication skills; regular stakeholder engagement with enterprise customers
- In-office availability: 5 days/week in New York or San Francisco for first 6 months, then 4 days/week in person
What We Do
InstaLILY builds AI teammates for the physical-goods economy: industrial distribution, healthcare, supply chain, manufacturing, and automotive. Our model is simple: one company brain, many teammates. We build company-specific AI-powered brains called InstaBrains. Built on small, specialized language models (SLMs), they codify the customer's knowledge and decisions, like their parts, jobs, and pricing. On top of it, InstaWorkers act as AI teammates inside the tools customers already use, completing the sales, service, and operations work that drives the business.
Why Work With Us
Backed by Insight Partners ($25M Series A) and supported by the Google, NVIDIA, and Microsoft ecosystems, we are one of the fastest-growing AI startups in the country. Our team has already driven over $200M in incremental revenue for customers to date. InstaLILY's architecture has been featured in Google DeepMind's case study showcase.
