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Tier-1 brand, metro Bangalore location, and attractive AI lead title drive high applicant competition.
Core LLM, Python, and cloud skills transfer across industries, though enterprise banking context raises domain specificity.
Explicit years, lead seniority, and many mandatory technical LLM, data, and cloud skills increase shortlisting strictness.
Lead design, development, and deployment of enterprise-scale AI platforms and Generative AI (GenAI) solutions using LLMs, Agentic AI, RAG, and knowledge retrieval.
Architect and deliver scalable Python applications, APIs, microservices, and data engineering pipelines with cloud-native and distributed processing technologies.
Establish engineering standards, best practices, and AI/LLMOps frameworks ensuring secure, reliable, production-ready AI solutions; mentor teams and collaborate with senior leaders.
5+ years of software engineering experience (or equivalent through work/training/education).
Proficiency in Python software development, object-oriented design, API development, and distributed systems.
Experience with Generative AI and LLM-based applications including GPT, LangChain, RAG, semantic retrieval, and production deployment.
Not explicitly mentioned: mandatory degree, notice period, or specific onsite/location requirements.
Senior engineer comfortable leading enterprise-scale AI engineering projects and driving adoption of emerging AI technologies.
Strong background in designing and delivering scalable AI and data engineering solutions using cloud platforms (e.g., GCP) and distributed processing frameworks (Spark, Databricks).
Experienced in building production-grade Generative AI solutions integrating knowledge retrieval, vector databases, microservices, and AI/LLMOps practices for measurable business impact.