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