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Tier-1 employer and Bangalore location but niche GenAI seniority limits applicant density.
Requires specialized GenAI, RAG and agentic system experience, reducing cross-industry transferability.
Explicit 11+ years and mandatory GenAI frameworks, cloud and microservices experience make filters strict.
Develop and deliver scalable, maintainable software solutions focused on Gen AI applications and microservices for Business Banking technology.
Collaborate on architectural improvements, integrate AI-assisted engineering tools, and contribute to cross-functional projects ensuring quality and alignment.
Coach and mentor junior engineers while maintaining high code quality and documentation standards.
11+ years experience designing and implementing scalable, maintainable, and reliable software solutions.
Working knowledge of AI/ML and Gen AI applications, including experience with frameworks like LlamaIndex, LangChain; preferred experience with AutoGen, SemanticKernel, or similar.
Proficiency in Python, TypeScript, or C# and experience developing microservices on AWS or Azure cloud platforms.
Bachelor’s or Master’s degree in Engineering (Computer Science/Information Technology).
Experienced in building and integrating Gen AI technologies within software engineering workflows, including RAGs and Agentic AI systems.
Demonstrates strong technical leadership and the ability to collaborate effectively with stakeholders on complex, business-critical problems.
Regular user and experimenter of AI engineering tools and coding assistants, with knowledge of emerging AI tooling and frameworks.