Top Tech Jobs & Startup Jobs in Mumbai

Build and maintain full‑stack features using Node.js and React/Vue, develop and integrate REST APIs, debug and fix bugs, collaborate with product/design/QA, support deployments, monitoring, and basic AWS cloud workflows, and ensure code quality through testing and reviews.

Design, build, and maintain scalable Java/Spring Boot backend services and APIs. Own integrations, optimize performance and observability, implement messaging/caching, write tests, and deliver reliable microservices in a fast-paced startup environment.

Design, prototype, and deliver agentic AI solutions using ML and generative models. Partner with product, engineering, and delivery teams to build, evaluate, and deploy LLM-based solutions, run experiments and POCs, and communicate technical recommendations to stakeholders.

Lead global quality engineering and testing practices for AI-driven SaaS products, enhance automation, and ensure high-quality releases through effective strategies and collaboration.

The SDET will test AI-based products, improve quality assurance processes, and provide feedback to enhance AI models. Responsibilities include manual and automation testing and API testing.

The Software Engineer will plan, design, and execute SOA backend platforms, focusing on Java development and DevOps on AWS. Responsibilities include defect tracking, maintaining performance, and collaborating within a multi-disciplinary team.

Design and architect scalable, low-latency backend systems for a high-throughput AI customer experience platform. Lead technical design, performance tuning, database optimization, caching strategies, distributed system design, and production readiness. Mentor engineers, drive architecture decisions around microservices, APIs, cloud infrastructure, and ensure reliability and observability.

The SDET II role involves testing AI-based products, ensuring quality standards, and collaborating with teams to improve models. Candidates should have experience in manual and automation testing, API testing, and a Bachelor's degree in a relevant field.

Build and scale agentic AI workflows on a no-code platform by designing LLM prompts, integrating REST APIs/webhooks, implementing tests, and applying resilient system design patterns to deliver production-grade autonomous agent solutions.

Build and scale autonomous, LLM-driven agent workflows using Netomi's no-code platform. Design high-quality prompts, integrate external/internal APIs, implement unit tests, and apply resilient engineering patterns for reliable, cost-efficient agentic automation. Collaborate with Product, QA, and Delivery to ship production-grade solutions.