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Tier-1 bank brand, metro location, senior but broad GenAI skillset yields moderate applicant competition.
Requires production GenAI and LLM expertise, making skills less transferable across unrelated industries.
Specialized GenAI, production LLM, cloud and DevOps skills increase screening strictness despite no explicit years.
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Lead development and integration of generative AI technologies to automate and accelerate software engineering tasks.
Build, scale, and maintain production-grade GenAI solutions including LLMs, RAG, and agentic workflows, ensuring alignment with project requirements.
Establish governance, quality standards, and best practices for AI-assisted software development while debugging production issues and driving reliability improvements.
Proficiency in Python, TypeScript, and Bash scripting.
Strong understanding and practical experience with 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 integrating AI-generated code with human-written code and selecting appropriate AI engines for tasks.
Familiar with cloud-native infrastructure, CI/CD, containerization (Docker, Kubernetes) and API development using Python frameworks like FastAPI or Flask.
Capable of strategic AI integration and thought leadership in AI-enhanced software development within Agile environments.