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Tier-1 employer and Bangalore location increase candidate competition, but specialized AI stack narrows the pool.
Role demands specialized AI and regulated-environment experience, but core ML/cloud skills are transferable.
Requires 10+ years, lead experience, and mandatory AI/cloud/LLM technical skills.
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Lead architecture and technical evolution of AI-first cloud-native enterprise solutions with Python, React, and AI agentic workflows.
Define and govern AI-augmented software development lifecycle, including AI quality gates for security, performance, hallucination, and bias mitigation.
Drive engineering quality, mentorship on AI productivity tools, and optimize AI cloud infrastructure cost-efficiency (FinOps).
10+ years software engineering experience with at least 5 years in a Technical Lead role.
Expertise in Python frameworks (FastAPI, Flask, or Django) and React with TypeScript.
Hands-on experience with LLM integration, prompt engineering, orchestration frameworks (LangChain, AutoGen, LlamaIndex).
Expert-level Azure or AWS skills including IaC (Terraform/Bicep) and AI-ready CI/CD pipeline development.
Experienced technical leader skilled in architecting AI-first full-stack cloud native applications at scale.
Demonstrated ability integrating advanced AI orchestration patterns and semantic retrieval using vector databases.
Strong focus on AI governance, secure and compliant AI deployments in regulated environments (e.g. Pharma or Finance).