Lead – Platform Engineering (Full Stack + AI) Location: Kochi Experience: 8–12 Years Role Overview

We are looking for a Lead – Platform Engineering to drive the architecture, development, and scaling of our next-generation AI-powered platforms. This role sits at the intersection of full-stack engineering, AI/ML systems, and scalable platform design, and will be instrumental in building robust, production-grade systems powering autonomous and industrial AI applications. You will lead a team of engineers, define technical direction, and ensure high-quality delivery of scalable, secure, and high-performance platforms.

Key Responsibilities

Platform Architecture & Development

Design and build end-to-end platform architecture (frontend, backend, APIs, and data layers)

Develop scalable and modular microservices-based systems

Drive cloud-native platform development (AWS/Azure/GCP)

Ensure high availability, performance, and security of the platform Full Stack Engineering

Lead development across frontend (React/Angular/Vue) and backend (Node.js/Python/Java/Go)

Define best practices for clean code, modular design, and API-first development

Oversee UI/UX integration for data-intensive and AI-driven applications AI/ML Platform Integration

Work closely with AI teams to integrate ML models into production systems

Build and manage ML pipelines, inference systems, and model deployment frameworks

Enable real-time data processing and decision-making systems

Drive adoption of MLOps practices (model versioning, monitoring, retraining pipelines) Leadership & Delivery

Lead, mentor, and scale a team of platform and full-stack engineers

Own technical roadmap, sprint planning, and delivery timelines

Collaborate with cross-functional teams (AI, Robotics, Product, DevOps)

Ensure adherence to engineering standards, documentation,



and governance DevOps & Scalability

Implement CI/CD pipelines, automated testing, and deployment strategies

Drive containerization (Docker) and orchestration (Kubernetes)

Establish observability (logging, monitoring, alerting) Required Skills & Qualifications

Core Engineering

Strong expertise in full-stack development

Frontend: React / Angular / Vue

Backend: Node.js / Python / Java / Go

Experience in designing distributed systems and scalable architectures

Solid understanding of REST APIs, GraphQL, and event-driven systems AI/ML Exposure

Hands-on experience integrating AI/ML models into production

Familiarity with frameworks like TensorFlow / PyTorch

Understanding of MLOps, model deployment, and inference systems Cloud & DevOps

Experience with AWS / Azure / GCP

Strong knowledge of Docker, Kubernetes, CI/CD pipelines

Experience with databases (SQL/NoSQL) and data pipelines Leadership

Proven experience leading engineering teams (5–15 members)

Strong ownership mindset with ability to drive end-to-end delivery

Excellent stakeholder communication and problem-solving skills Good to Have

Experience in real-time systems / edge computing / IoT platforms

Exposure to autonomous systems, robotics, or industrial AI

Knowledge of stream processing (Kafka, Spark, Flink)

Experience building multi-tenant SaaS platforms What You’ll Own

Platform architecture for AI-driven products at scale

Engineering excellence and best practices across teams

Delivery of production-grade, enterprise-ready platforms

Building a future-ready, scalable AI platform ecosystem Why Join Us

Work on cutting-edge Physical AI and autonomous systems

Opportunity to build platforms powering real-world industrial transformation

High ownership, fast-paced deep-tech environment

Be part of building globally scalable AI products from India

📌 Lead Software Engineer (Kochi)
🏢 RoshAi
📍 Kochi