What You’ll Do As a Product Engineer for Ithara, you will build, ship, and evolve Ithara, Suzega's Agentic Engineering Platform. Your mission is to evolve Ithara AI Fabric into a world-class platform that enables Suzega Expert Pods to deliver production-ready agentic AI solutions in 6-week cycles, with measurable business outcomes and enterprise-grade trust. Platform Development: Design, build, and maintain all core Ithara components. End-to-End Delivery: Deliver Ithara features seamlessly across AI Apps, backend, frontend, and data layers. Quality & Observability: Ensure exceptional quality through rigorous testing, debugging, and production monitoring across all components. Enablement & Adoption: Drive Ithara adoption within client delivery teams through onboarding, enablement, clear documentation, blueprints, and pre-built components. Feedback Loops: Actively capture reusable patterns and translate feedback from client engagements into the next iteration of the platform to compound Ithara's value. Metrics Optimization: Track and continuously improve critical platform metrics, including time-to-deployment, code reuse, and cost per AI App. Governance: Enforce strict security, compliance, and responsible AI practices across all platform components. Requirements What You’ll Bring Full-Stack & Product Mindset: Strong experience building and scaling full-stack platforms (Frontend, Backend, APIs, Data) with a sharp product instinct. Agentic AI/ML Engineering: Hands-on experience working with AI applications, LLM orchestration frameworks, SDK development, or agentic workflows. Systems Architecture: Experience designing reusable component libraries, SDKs, or internal developer platforms that scale across multiple engineering teams. Operational Rigor: Experience with production monitoring, testing frameworks, CI/CD pipelines, and cloud data infrastructure. Collaborative Communication: Excellent verbal and written communication skills to write clear technical documentation and mentor/enable delivery teams. Problem-Solving Agility: Ability to turn complex requirements into clean, reusable platform features. How to Apply: Write a brief breakdown of the products you've built, highlighting the technical challenges you solved, the decisions you owned, and your specific contributions. Tell us why you're interested in joining Suzega—what draws you to our mission and how you see yourself contributing. What Happens Next: We will review applications. If selected, you'll participate in 2 one-hour virtual interviews with our Trusted Interviewers. You may be asked to complete a design exercise or case study. We will make our decision within 2 weeks and inform you with a flexible start date. Why This Matters: At Suzega, we're not just building better AI—we're thinking about how AI can work better with people and society. Are you ready to help shape what AI can and should do? Do you want to use your technical skills to make a real difference? If so, we'd love to hear from you. This is more than a job. It's a chance to shape the future. Location: Work from anywhere in India
Suzega is an AI-focused company that builds data infrastructure and engineering solutions to support AI/ML and LLM applications. The company specializes in designing, constructing, and maintaining highly scalable data management systems and robust data pipelines that ensure data quality, reliability, and accessibility. Suzega works with clients from initial requirements gathering through delivery, leveraging modern cloud platforms and data engineering practices. Beyond technical excellence, the company is mission-driven around how AI can work better with people and society, positioning themselves as builders of better AI with a focus on responsible AI development.
