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Niche LLM/MLOps skills but mid-level AI role in Bangalore attracts applicants.
High — LLM engineering, model optimization, and MLOps demand strong AI-specific experience and domain knowledge.
Requires specialized LLM, MLOps, quantization, vector DB and cloud deployment skills, enforcing strict technical filters.
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Build, deploy, and optimize scalable Large Language Model (LLM), Retrieval-Augmented Generation (RAG), and agent-based AI systems.
Architect and manage LLM inference and deployment pipelines ensuring efficient, cost-effective production.
Collaborate with cross-functional teams and mentor junior engineers while ensuring adherence to engineering best practices and responsible AI development.
Bachelor's degree in Information Technology, Computer Science, or related field.
Experience with LLM, RAG, and GenAI systems including model optimization, deployment on cloud platforms (AWS/Azure/GCP), CI/CD, and MLOps tools.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Bangalore, India (Full-Time Employee).
Strong technical expertise in scalable AI systems including quantization, pruning, distillation, and multimodal AI frameworks (e.g., CLIP, BLIP, Whisper).
Proven ability to collaborate effectively across data science, research, and product teams within fast-evolving AI projects.
Track record of delivering high-quality, maintainable engineering solutions with accountability under tight deadlines and evolving requirements.