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Metro Bangalore role with recognizable employer and mid-level ML/AI specialization yields moderate applicant competition.
Highly specialized Agentic AI and LLM engineering skills limit cross-industry transferability.
Explicit 6+ years plus mandatory agentic AI, LLM, RAG, and backend production skills make filters strict.
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Design, build, and deploy production-grade multi-agent AI systems for JLL's AI-driven data intelligence platform, Azara.
Architect and implement agent orchestration, RAG pipelines, LLM integration, and related AI workflows at enterprise scale.
Lead proof-of-concept AI projects, mentor engineers on AI engineering best practices, and maintain AI system reliability and observability frameworks.
6+ years of software engineering experience with significant hands-on AI/ML work in enterprise environments.
Strong proficiency in Python and experience building production AI applications using frameworks like LangGraph, LangChain, CrewAI, or AutoGen.
Experience integrating LLM APIs (OpenAI, Azure OpenAI, Anthropic) and implementing RAG systems with vector databases.
Bachelor's degree in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent experience; On-site location: Bengaluru, KA.
Experienced in architecting and implementing complex multi-agent AI systems and autonomous agent workflows at enterprise scale.
Skilled in developing scalable backend services using Python frameworks (FastAPI) and managing distributed event-driven microservices.
Able to evaluate and incorporate emerging AI frameworks and tools, and lead technical AI innovation within engineering teams.