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Mid-level fullstack title, metro locations, and broad GenAI+data requirements increase applicant competition.
Full-stack and GenAI skills transfer broadly, but Salesforce/Agentforce emphasis adds domain specificity.
Explicit 4+ years plus mandatory GenAI, full-stack, and data skills enforce strict filters.
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Design, build, and deploy full-stack web applications using React/Next.js, Node.js, and TypeScript on cloud platforms such as Vercel or AWS.
Develop and integrate GenAI-powered features using LLM APIs (Anthropic Claude, OpenAI), including retrieval-augmented generation (RAG) pipelines and prompt orchestration.
Own feature development end-to-end including architecture, implementation, testing, deployment, monitoring, and iteration; manage data layers and integrations with third-party APIs.
4+ years of professional full-stack development experience with JavaScript/TypeScript across frontend and backend.
Experience building with LLM APIs or GenAI frameworks in production or serious projects.
Proficiency with React/Next.js, Node.js, REST/GraphQL APIs, PostgreSQL/Supabase/MongoDB, and at least one cloud platform (Vercel, AWS, GCP, or Azure).
Work Model: Hybrid with 3 days in office per week (Pune/Indore/Nagpur) and 2 days WFH.
Experienced full-stack engineer comfortable operating at the intersection of web engineering, data, and large language models.
Skilled in building and deploying AI-native SaaS products and platforms, with a focus on pragmatic, iterative delivery.
Able to manage complexity across full software lifecycle including data pipelines, security, and third-party system integrations.