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Mid-level specialized ML role in Bangalore with moderate brand and metro applicant pool.
Agentic LLM and orchestration expertise is highly domain-specific, limiting cross-industry interchangeability.
Mandatory 4+ years, LLM/agent frameworks, cloud and vector DB requirements impose strict filtering.
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Lead design and development of agentic AI systems using large language models (LLMs) and agent orchestration frameworks.
Build and deploy scalable microservices and APIs on cloud platforms, with a focus on retrieval-augmented generation and vector search applications.
Own debugging and problem resolution in distributed systems within an agile, fast-paced team environment.
Minimum 4 years professional experience with strong Python programming skills.
At least 2 years hands-on experience with LLM applications, including prompt engineering, RAG, and agent frameworks.
Experience with one or more agent orchestration frameworks such as LangChain, LangGraph, AutoGen, or CrewAI.
Familiarity with cloud platforms (preferably Azure), API design, microservices architecture, and vector databases.
Experienced in building production-ready conversational AI or agentic AI systems with distributed architectures.
Comfortable working in fast-paced iterative development cycles with strong problem-solving skills for complex distributed systems.
Exposure to media, advertising, or marketing tech domains, or with additional experience in MLOps and model serving infrastructure.