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Tier-1 brand, metro location, and broad skillset requirements increase candidate competition.
Deep SaaS backend and AI emphasis makes cross-industry fit moderate; favors enterprise SaaS specialists.
Mandatory 10+ years, senior title, and extensive technical stack create high shortlisting strictness.
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Lead design and implementation of core features and modules for Einstein Bots and Agentforce AI platforms, ensuring scalability, fault tolerance, and high availability.
Own end-to-end development from requirements to production, collaborating with product managers, QA, and UX teams to deliver business-critical features.
Mentor engineers, influence technology choices, troubleshoot production issues, and participate in on-call rotations to maintain platform health and operational excellence.
10+ years experience building highly scalable SaaS backend applications using microservices architectures.
Strong proficiency in at least one OO programming language (preferably Java) plus modern languages like JavaScript/TypeScript or Go.
Deep knowledge of backend service design including REST/gRPC APIs, asynchronous processing, messaging, distributed caching, and database schema design (SQL/PLSQL).
Understanding of AI/ML driven systems including Gen AI, LLM-based architectures, NLU pipelines, or reasoning engines.
Experienced in developing and scaling backend microservice platforms in fast-paced Agile environments with end-to-end ownership.
Strong architectural skills with focus on AI-powered conversational and agentic systems, integrating LLMs, chatbots, and reasoning engines.
Ability to collaborate cross-functionally with product, UX, QA, and global teams to deliver high-impact enterprise AI SaaS solutions.