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Metro-based mid-level GenAI role at a known analytics firm, moderately competitive applicant pool.
Specialized GenAI and multi-agent expertise favors ML backgrounds but remains transferable across industries.
Explicit 3–8 years plus specialized GenAI, multi-agent, cloud and MLOps skills enforce strict shortlisting.
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Design and build multi-agent AI systems with capabilities for planning, reasoning, task execution, and autonomous workflows.
Develop and deploy LLM-powered agent architectures, including prompt engineering, RAG pipelines, and AI copilots integrated with enterprise systems.
Optimize AI systems for performance, cost, latency, and ensure AI safety, governance, and responsible AI practices.
Bachelor’s or master’s degree in computer science, AI, or related field.
3–8 years of experience in AI/ML with a strong focus on Generative AI.
Proficiency in Python and hands-on experience with LLMs (OpenAI, Hugging Face), agent frameworks (LangChain, AutoGen), and vector databases (FAISS, Pinecone).
Work mode: 5 days WFO in Bangalore (Whitefield) with working hours 12pm-9pm.
Experienced in designing and implementing autonomous, multi-agent AI systems with enterprise integrations and orchestration.
Strong systems thinking and problem decomposition skills to architect scalable AI workflows with emphasis on practical KPIs like task completion and workflow automation.
Comfortable communicating with business stakeholders to translate workflows into agent pipelines and balancing trade-offs between latency, cost, and accuracy of AI solutions.