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Mid-level GenAI role in Bangalore with broad LLM/agent requirements increases candidate competition.
Requires specialist generative AI and agent engineering skills, limiting easy cross-industry transfer.
Explicit 3–5+ years and specialized GenAI/agent and RAG expertise make filters stringent.
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Own end-to-end lifecycle of Generative AI, Agentic AI, and AI/ML solutions including design, prototyping, model training, fine-tuning, and production deployment.
Design and architect production-ready AI workflows such as advanced RAG pipelines and multi-agent systems with reusable, composable capabilities.
Collaborate with engineering teams to integrate AI capabilities, optimize performance, monitor model behavior, and evangelize internal AI product innovation.
3–5+ years of experience delivering production Generative and Agentic AI solutions with model training and deployment.
Strong proficiency in Python including API development and async programming.
Experience building complex RAG pipelines, multi-agent orchestration, and integration with LLM providers (e.g., OpenAI, Azure OpenAI, Anthropic).
Working familiarity with Azure AI ecosystem or ability to ramp up quickly; location Bengaluru - Technology Campus.
Technically hands-on with full-spectrum AI solution capabilities covering Generative AI, agent systems, and fine-tuning custom language models.
Experienced in building reusable AI components and interoperable multi-agent systems, balancing solution accuracy, latency, and cost.
Comfortable working cross-functionally with product, cloud, and DevOps teams to operationalize AI solutions at enterprise scale.