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Strong brand and Bangalore metro increase competition, but seniority and niche GenAI skills moderate it.
Core ML/AI engineering skills transfer across industries despite banking context.
Many mandatory AI, cloud, and production platform skills with senior 'Staff' expectations.
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Develop and build production-grade generative AI solutions (including LLMs, RAG, and agentic workflows) to automate and accelerate software engineering tasks.
Lead AI integration in software development by crafting prompts, selecting AI engines, and combining AI-generated code with human-written code.
Drive operational reliability by debugging production systems, establishing governance and quality standards for AI-assisted development, and guiding engineers on adopting AI tools.
Proficiency in Python, TypeScript, and Bash scripting.
Strong understanding of AI technologies, generative AI tools, and prompt engineering.
Bachelor’s degree in Computer Science or Information Technology engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and operating scalable, reliable, and secure cloud-native infrastructure with knowledge of CI/CD, containerization (Docker, Kubernetes), and Infrastructure as Code.
Skilled in integrating AI-generated code with human-written code and applying AI agent orchestration frameworks (e.g., LangChain, LangGraph).
Comfortable driving strategic AI adoption in software engineering environments and contributing to open-source AI automation projects.