Senior Software Engineer - AI

We are looking for a hands-on, product-minded Senior Software Engineer - AI with 4-8 years of experience to take complete ownership of our B2B SaaS product — from server architecture to production deployment. This isn’t a management-only role. You will write code, make architecture decisions, and be the single most important technical voice in the room when it comes to the product.
You’ll work at the intersection of engineering and product — collaborating with business, design, and marketing stakeholders who understand the domain deeply, while you lead all things technical. The ideal person for this role has built SaaS products before, is fluent across the full stack, and is excited by the challenge of building something that’s genuinely useful to an industry they’re now becoming part of.
W H A T Y O U ’ L L DO
SaaS Product — End-to-End Ownership
Architect, build, and scale the full SaaS product — from backend infrastructure to user-facing interface
Own all technical layers: APIs, frontend, cloud infrastructure, CI/CD, and data systems
Drive core platform decisions — technology choices, system design, and product evolution
Collaborate directly with the product and business team to translate domain knowledge into software
Backend & API Development
Build production-grade APIs and backend services using Python (FastAPI / Django preferred)
Design scalable data models, service integrations, and multi-tenant SaaS architecture
Ensure systems are secure, performant, and built for long-term maintainability
Frontend Development
Develop responsive, high-performance frontend applications using React.js
Work closely with design and product stakeholders to deliver clean, usable interfaces
Maintain modular, reusable frontend architecture that scales with the product
Cloud Infrastructure & DevOps
Manage and optimize AWS cloud environments — performance, reliability, and cost
Build and maintain automated CI/CD pipelines using GitHub Actions, Jenkins, or similar
Implement Infrastructure as Code (IaC), Docker-based workflows, and cloud automation
Apply FinOps practices: monitoring, right-sizing, and cost governance across environments
AI & Intelligent Automation
Build and integrate AI/GenAI-powered features into the SaaS product
Work with LLMs, AI APIs, and automation systems to add intelligence to product workflows
Identify and implement AI-driven efficiencies across both the product and engineering process
W H A T W E ’ R E L O O K I N G F O R
Must-Have
4-8 years of hands-on full-stack development and cloud engineering experience
Strong proficiency in React.js and modern frontend development
Deep backend expertise in Python — FastAPI or Django strongly preferred
Solid experience with AWS cloud services and infrastructure management
Hands-on with Docker, CI/CD pipelines, and DevOps workflows
Experience architecting scalable, cloud-native SaaS systems
Working knowledge of AI/GenAI technologies, LLM integrations, or automation workflows
Product ownership mindset — you care about what gets shipped, not just how

Work arrangement
No