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Popular mid-level fullstack title, metro locations, and hybrid setup increase competition.
Core fullstack and cloud skills are transferable, though LLM/AI specialization raises industry specificity.
Mandatory 3–6 years plus specific frontend, backend, AI, and cloud skills make shortlisting strict.
Design, build, and maintain production-quality software including APIs, backend services, and automation that support engineering and business workflows.
Contribute to cloud-native applications and develop AI-enabled solutions such as LLM integrations, Retrieval-Augmented Generation (RAG), and agentic workflows.
Apply engineering best practices in testing, observability, security, reliability, maintainability, and participate in technical design and problem-solving.
3–6 years of software engineering experience with strong fundamentals and coding skills.
Hands-on experience with React or Vue.js and Python or other modern programming languages.
Experience in cloud-native application development with exposure to AWS, Azure, or GCP, plus CI/CD and automated deployment.
Must be able to work from Pune or Bengaluru in a hybrid setup.
Experienced in building backend services, APIs, AI-powered applications, and integrations involving LLMs, RAG, or agentic workflows.
Comfortable working with modern developer tooling, Git, cloud platforms, and automated delivery pipelines in ambiguous technical environments.
Comfortable contributing to platform engineering, internal tooling, and evolving AI integration patterns in a fast-growing technology consultancy.