Architect and deliver high-performance SaaS platforms, intelligent automation ecosystems, and next-generation AI features, enabling clients to transform operations, unlock productivity gains, and create competitive advantages in rapidly evolving markets.
You will lead the design, architecture, and delivery of AI-powered software products from initial discovery through production deployment and long-term optimization. The role involves building enterprise-grade SaaS platforms, Retrieval-Augmented Generation (RAG) systems, AI copilots, intelligent workflow automation, data processing pipelines, backend APIs, third-party integrations, and high-quality user-facing applications. You will work directly with founders, stakeholders, and clients to understand business objectives, transform ambiguous requirements into clear technical solutions, and create scalable systems that solve real operational challenges. Beyond feature development, you will be responsible for making critical architecture decisions, establishing engineering best practices, ensuring security, reliability, and performance, and maintaining high standards of code quality across projects. You will design systems that can scale with growing customer demands, implement monitoring and observability frameworks, measure the effectiveness of AI features in production, and continuously improve product performance based on real-world usage and business outcomes. This role requires strong technical leadership, product thinking, and execution skills.
₹12L - ₹24L per year
Remote, India preferred
4+ years
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Role context
This is not a narrow task-only position. You will be trusted with a defined business outcome, clear communication, delivery quality, and practical decisions that affect real client products. The best fit is someone who can understand the requirement, ask sharp questions, propose the next step, and then execute with care.
Translate client problems into scoped AI product features with clear user journeys, acceptance criteria, and delivery milestones
Design prompts, retrieval flows, tool calls, guardrails, and evaluation checks for production LLM workflows
Ship secure APIs, worker jobs, dashboards, admin controls, and integrations that can be monitored and maintained
Work directly with the founder and client stakeholders to clarify tradeoffs, surface risks early, and protect product quality
Document architecture, prompt behavior, data assumptions, and handoff notes so clients can understand how the system works
Review AI output quality after launch and improve retrieval, prompts, observability, and fallback behavior when needed
Strong TypeScript, React, and backend engineering experience
Production experience with LLM APIs, vector search, or workflow automation
Good judgment around security, reliability, and data quality
Clear written communication and high ownership
Experience with Next.js, Node.js, and modern full-stack architectures
Knowledge of cloud platforms such as AWS, GCP, or Azure
Experience designing scalable APIs and database systems
Understanding of CI/CD pipelines, DevOps practices, and deployment workflows
Founder-direct product work
Remote-first execution
Modern AI and SaaS stack
Performance-based growth path
Competitive compensation package
Flexible working hours and async-friendly culture
Direct impact on product strategy and technical decisions
Opportunity to work on cutting-edge AI applications
Rapid career growth in a high-performance environment
Access to premium development tools and resources
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