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Metro Bengaluru and generic Senior Software Engineer title increase applicant density despite niche agentic AI specialization.
Specialized agentic AI, LLM integration, and enterprise-scale patterns moderately limit cross-industry transferability.
Explicit 6+ years plus many mandatory AI, backend, and tooling requirements make filters strict.
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Design, build, and deploy production-grade multi-agent AI systems using LangGraph and related frameworks to power AI-driven data intelligence platform features.
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, LLM integrations, natural language query solutions, and backend Python APIs at enterprise scale.
Lead innovation efforts by staying current with AI trends, mentoring engineers, and managing AI solution architectures and evaluations.
6+ years of software engineering experience with significant hands-on AI/ML work in enterprise environments.
Proficiency in Python and experience with agentic AI frameworks such as LangGraph, LangChain, CrewAI, or AutoGen for production systems.
Experience integrating LLM APIs (OpenAI, Azure OpenAI, Anthropic) and prompt engineering including RAG system design and vector database workflows.
Location requirement: On-site in Bengaluru, Karnataka, India. Bachelor's degree in Computer Science, Engineering, AI/ML, or related field (or equivalent experience).
Strong background in building scalable multi-agent AI workflows, autonomous agent orchestration, and enterprise AI software development.
Experience working with modern event-driven microservices architectures, distributed task processing, and real-time streaming.
Proven ability to translate complex AI concepts into practical, production-ready systems with an emphasis on reliability, maintainability, and performance.