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Senior Full Stack Engineer AI/ML & AWS (Team Lead) Comany :Aafyah Innovations FZ-LLC / Awriri Location : India (Remote) Reports To : Chief Technology Officer (CTO) Team: Will lead a team of 34 engineers, growing over time Experience: 710 years in full stack engineering, including team leadership Compensation: Competitive, based on experience About Awriri Awriri is a doctor positioning and digital growth platform for physicians, clinics, and hospitals. We help healthcare providers grow their visibility, reputation, and patient reach through a modern, technology-first platform. We're a small, fast-moving team building quickly and iterating in the open the kind of environment where ideas get shipped, not just discussed. About the Role We're hiring a Senior Full Stack Engineer to lead a small engineering team and take direct ownership of Awriri's technical direction alongside our CTO. This is a hands-on leadership role you'll be writing code, reviewing code, architecting systems, and shaping product decisions, not just managing a backlog. Until we bring on a dedicated Product Manager and Product Owner, you'll also carry those responsibilities: turning priorities into a explicit roadmap, defining requirements, and keeping the team focused on what matters most. We're looking for someone who moves fast, takes initiative, brings ideas, and gets them implemented not someone who waits to be told what to build next. You'll lead a team of 34 engineers (currently including two of our own graduate Technology Associates who've grown with the company) and report directly to the CTO. What You'll Do Technical Leadership - Lead, mentor, and grow a team of 34 engineers, including day-to-day technical guidance and code review. - Own architecture and technical decision-making across the full stack, in partnership with the CTO. - Set engineering standards and practices for a fast-moving, remote-first team. Hands-On Engineering - Build and ship production features across our Node.js/TypeScript backend and supporting services. - Design and maintain scalable APIs, data models, and integrations (Prisma, PostgreSQL, Redis, Socket.io). - Own AWS infrastructure, including provisioning and infrastructure-as-code via Terraform. - Design and implement agentic AI workflows, and integrate LLMs/VLMs into production features. Product & Delivery (until PM/PO hires are made) - Translate business priorities into a clear, actionable roadmap for the engineering team. - Define requirements, scope features, and make prioritization calls in a fast-changing environment. - Drive delivery end-to-end from idea to shipped, working product. What We're Looking For - 710 years of professional full stack engineering experience. - Proven experience leading or mentoring a small engineering team (3+ engineers). - Strong hands-on experience with Node.js, Express, and TypeScript in production. - Solid experience with AWS hands-on with core services and infrastructure-as-code (Terraform). - Practical experience with AI/ML in production building agentic AI workflows and integrating LLMs/VLMs. - Working proficiency in Python, in addition to JavaScript/TypeScript. - Experience working in fast-paced startup environments comfortable with ambiguity, shifting priorities, and wearing multiple hats. - A bias toward action: someone who proposes ideas and implements them quickly, rather than waiting for direction. - Strong written and verbal communication you'll need to work async, across time zones, with a remote team. Our Stack Node.js 22 Express.js TypeScript PostgreSQL 16 AWS Terraform Stripe Social native platform APIs Python agentic AI workflows LLMs/VLMs tsx & nodemon for local development GitHub Why Join Us - Real ownership you'll shape both the product and the engineering culture from an early stage. - A fully remote team that values speed, initiative, and getting things done. - Competitive compensation, benchmarked against the market. - A direct line to the CTO and founders your input shapes the roadmap. - Room to grow into a larger leadership role as the team and product scale. Interview Process We keep our process simple and fast, with no unnecessary steps: - Intro call get to know each other, discuss the role and your background. - Technical conversation we cover the basics of your experience across the stack, AWS, and AI/ML work. A single conversation can't cover every area in depth, so we don't try to. - Final conversation with the CTO/founders culture fit, expectations, and mutual questions. Most of the detailed technical assessment happens during the probationary period, where we get to see how you actually work in practice not just how you interview. We move quickly on our end and aim to give candidates a clear, timely decision. Aafyah Innovations FZ-LLC / Awriri Remote-first, fast-moving, and building the future of physician growth. .
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