Full Stack Developer (MERN + LLMs)

Wing Assistant

2d•$1,000,000 - $2,500,000•Remote

About The Position

Wing is seeking elite talent to join M32 AI (backed by top-tier Silicon Valley VCs), dedicated to building agentic AI for SMB's globally. Think of it like a startup within a corporate: fast moving and agile, with the stability of a corporate, and zero bureaucracy. If you’re driven by challenge and eager to make a significant impact in a high-caliber role, this is the opportunity you’ve been waiting for.

Requirements

2+ years as a Full Stack Engineer, ideally in a fast-paced startup or 0→1 environment
Proficiency in JavaScript/TypeScript with frameworks like React or Vue for front-end development
Strong back-end skills in Node.js , Python, or PHP, with experience designing APIs
Practical experience integrating AI/LLMs (GPT, Claude, etc.) via API into production products.
Database expertise in SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB)
Familiarity with DevOps & CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, etc.
Cloud deployment experience on AWS, Azure, or GCP with Docker/Kubernetes
Prior exposure to building or integrating large-scale web platforms and understanding modern web technologies.
Knowledge of GraphQL
Familiarity with PHP frameworks (Laravel, Symfony)
Experience with Cursor AI or rapid development tools

Nice To Haves

You can go from concept to live product with minimal guidance
You ship fast but maintain stability, scalability, and security
AI features you integrate feel seamless and add real user value
Your work directly impacts thousands of users and critical KPIs

Responsibilities

Build responsive, user-friendly interfaces using modern JavaScript frameworks (React, Vue, etc.)
Collaborate with designers to implement intuitive UI/UX features and ensure consistent brand/application look and feel
Optimize web pages for performance, accessibility, and cross-browser compatibility
Develop RESTful or GraphQL APIs using Node.js, Python, PHP, or similar back-end technologies
Design and maintain databases (SQL or NoSQL) to ensure efficient data storage, retrieval, and scalability
Work with AI/ML teams to integrate model outputs, leveraging microservices or serverless architectures as needed
Implement third-party integrations (payment services, cloud providers, or AI APIs) to enhance platform capabilities
Partner with ML/AI Engineers to surface AI-driven insights and automate domain-specific tasks
Contribute to system design discussions, ensuring the front end, back end, and data layers cohesively meet product requirements
Assist in setting up continuous integration and delivery pipelines (e.g., GitHub Actions, Jenkins, GitLab CI)
Deploy and manage containerized services (Docker, Kubernetes) in cloud environments (AWS, Azure, GCP)
Monitor application health, implement logging, and handle on-call duties for mission-critical issues
Work in short, iterative development cycles to quickly prototype new features, gather feedback, and refine solutions
Be prepared to pivot quickly based on user feedback or changes in the product direction
Follow secure coding guidelines and employ best practices like input validation, encryption, and role-based access control
Collaborate with the team to ensure compliance with data protection policies (GDPR, HIPAA, etc.) as required by specific domains
You will be working with LLMs to produce qualitative and quantitative evaluations on content

Benefits

Remote-first culture
Work from anywhere
Competitive salary
Rapid Pay Increases for top performers
Performance-based bonuses (at the discretion of the Manager)
Software for Upskilling & Productivity
Paid Time Off
Health Insurance
Food Delivery Reimbursement: Late night Swiggy/Zomato reimbursement of 2,000 INR per month
Gym Reimbursement: Gym reimbursement of 4,000 INR per month.
Tech Setup: Budget for tech set up provided after 10 months of employment.
High autonomy, low bureaucracy
Fast-track to leadership for high performers
Direct access to founding team
High visibility, autonomy and ownership
Optional in‑person hack‑weeks in Hong Kong, India, or London
Access to best‑in‑class tooling
US HQ Opportunities: Top performers may have the opportunity to explore international roles within our US-based headquarters, including potential emigration opportunities, subject to availability and company needs, and after at least 2 years of employment.