Top Tech Jobs & Startup Jobs in Mumbai

Develop AI-focused quality engineering solutions for LLM applications, copilots, chatbots, RAG pipelines, and autonomous agents. Build evaluation frameworks, synthetic datasets, and scalable Python automation for UI, API, microservice, and distributed-system testing. Validate AI safety, groundedness, hallucinations, agent workflows, vector search, tool integrations, observability, reliability, and performance. Integrate quality workflows into CI/CD and cloud environments while collaborating with Engineering, AI/ML, Platform, Product, and DevOps teams.

Supports FP&A for the Bluehost Group by analyzing expenses, vendor contracts, financial trends, risks, and growth opportunities. Forecasts and reports key performance indicators, prepares monthly and ad hoc reports, improves and automates reporting processes, and identifies efficiency opportunities. The role coordinates closely with U.S. teams and requires strong financial analysis, advanced Excel, stakeholder management, organization, and accuracy.

Design and scale async Python backend systems supporting multi-agent workflows, provider-agnostic LLM integrations, RAG pipelines, vector databases, and AI-driven products. Own API architecture, data models, observability, performance, CI/CD, and production deployments. Establish guardrails for AI-generated code, provenance, licensing, security, compliance, and customer data usage. Drive ideas from concept to production with strong ownership and rapid iteration.

Build scalable, responsive, high-performance customer-facing web applications using React and modern frontend technologies. Translate designs into accessible, reusable experiences; collaborate with product, design, and backend teams; and contribute across development, testing, debugging, deployment, and code reviews. The role also involves optimizing performance, adopting AI-powered development tools, improving engineering processes, and delivering features rapidly in a fast-paced environment.

Leads the technical vision, architecture, and development of scalable React frontend systems serving millions of users. Oversees architecture reviews, production reliability, performance, accessibility, observability, CI/CD, and technical standards. Mentors engineers, drives cross-team initiatives, reduces technical debt, evaluates emerging and AI-powered technologies, and partners with product, design, backend, and leadership teams to deliver high-quality customer-facing experiences.

Build and maintain reliable batch or streaming data pipelines, optimize dimensional data warehouses and complex SQL, and implement testing, monitoring, and data-quality practices. Partner with analytics, product, and engineering teams to create reusable datasets, document data lineage, and support self-service reporting. Use AI-assisted development tools to accelerate pipeline development and debugging.

Build and ship AI-powered customer experiences across React front ends, Java/Spring Boot services, REST APIs, databases, and LLM integrations. Develop production generative AI features using model APIs, tool calling, and agentic workflows. Write tested, maintainable code; troubleshoot production issues; participate in Agile delivery, code reviews, technical design, and architecture decisions involving scalability, reliability, security, observability, latency, and cost.

Designs and operates Kubernetes and cloud-native infrastructure across major cloud platforms. Owns Terraform-based infrastructure, CI/CD pipelines, release management, observability, networking, web-server security, and incident response. The role also establishes responsible AI tooling practices, maintains production reliability, and improves legacy systems through automation and operational best practices.

Manage relationships with global accounts and partners, guide system integrations, identify business development opportunities, execute sales and marketing initiatives, present new services, negotiate partnerships, and achieve revenue targets. Coordinate client setups with internal teams, resolve customer issues, maintain pipeline accuracy, and recommend product or policy improvements. The role requires strong communication, business judgment, analytical thinking, stakeholder management, and up to two years of relevant experience.

Own the storefront roadmap and conversion optimization across multiple brands and platforms. Improve conversion, cross-sell, average order value, site performance, and customer experience through experimentation, analytics, merchandising, and UX improvements. Create product requirements, manage content and layout updates, coordinate redesigns, and partner with marketing, design, engineering, analytics, QA, and brand teams to deliver measurable eCommerce outcomes.