Back
Tier-1 brand and Bangalore location increase applicant density but senior specialization limits broad competition.
Deep LLM integration, AI governance, and regulated-industry experience require specialized, industry-relevant background.
Explicit 10+ years requirement and many mandatory AI, cloud, and infra skills make filtering strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead architecture and engineering quality for AI-first enterprise solutions using full-stack Python and React with cloud-native AI architectures.
Drive integration of AI into software development lifecycle, including implementation of Model Context Protocol (MCP) and AI governance standards for code quality, security, and LLM observability.
Optimize AI system cost-efficiency and partner with business teams to apply retrieval-augmented generation (RAG) and semantic search for enterprise data value unlocking.
10+ years in software engineering with at least 5+ years in a Technical Lead role.
Strong expertise in Python (FastAPI, Flask, or Django) and React (TypeScript).
Hands-on experience with LLM integration, prompt engineering, and orchestration frameworks such as LangChain, AutoGen, or LlamaIndex.
Expert-level experience with Azure or AWS cloud, Infrastructure as Code (Terraform/Bicep), and AI-focused CI/CD pipeline development.
Experienced technical lead capable of setting architectural standards and leading AI strategy for enterprise-grade applications.
Proficient in implementing AI-augmented SDLC practices, including AI governance and cost-optimization (AI FinOps).
Skilled in partnering with cross-functional teams to deliver AI-powered solutions with measurable business impact using advanced retrieval and semantic search technologies.