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Generalist Software Developer title and Bangalore location increase applicant density despite LLM specialization.
Medium because core backend and cloud skills are transferable, but LLM-specific expertise narrows cross-industry fit.
Medium due to mandatory Python/backend, cloud, and LLM skill requirements but no explicit years filter.
Architect and deliver scalable backend solutions using modern Python frameworks (FastAPI, Flask) focused on cloud-native application delivery.
Design, build, and integrate LLM-powered AI features into production applications, including Retrieval-Augmented Generation (RAG) pipelines and AI agents.
Lead cross-functional engineering teams, mentor members, oversee cloud deployments (Azure, GCP), and optimize CI/CD and AI workload performance.
Strong expertise in Python backend development with frameworks like FastAPI or Flask; experience with API design (RESTful, optionally GraphQL).
Experience with cloud platforms Azure and GCP and container orchestration using Docker and Kubernetes.
Work Experience Required: Not explicitly mentioned in the JD.
Must have practical experience with event-driven and distributed/background job systems using async programming (asyncio).
Experienced developer with deep knowledge of AI/LLM integrations using OpenAI, Google Gemini, Anthropic Claude, LangChain, and vector databases like Pinecone or FAISS.
Proven ability to architect and maintain scalable cloud-native systems with a strong focus on performance, observability, and cost optimization for AI workloads.
Comfortable leading and mentoring engineering teams in a cross-functional, agile environment delivering complex AI-driven software platforms.