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Specialized AI/LLM role in Bangalore with moderate brand strength reduces applicant volume but attracts competitive talent.
ML/LLM engineering skills are broadly transferable across industries but require specialized model and tooling expertise.
Explicit 8–12 years experience and mandatory ML/LLM, PyTorch, LangChain, and vector DB skills.
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Design, develop, and optimize ML/NLP models and data pipelines including RAG systems integrating vector search with LLMs.
Develop scalable AI services, APIs, and inference workflows focused on Large Language Models and agent-based systems.
Collaborate with engineering and product teams, participate in architecture and technical design discussions, and ensure code quality and performance.
8 to 12 years total work experience.
Minimum 3 years in Machine Learning and NLP, with at least 1.5 years hands-on experience on LLM-based applications.
Strong skills in Python programming, ML frameworks (PyTorch or TensorFlow), and experience with vector databases (Elastic, OpenSearch, FAISS).
Location requirement: Bengaluru, India.
Experienced in building and deploying AI-driven scalable applications using LLMs and modern NLP technologies including prompt engineering and embeddings.
Proficient in RAG pipeline design and agent-based orchestration with strong understanding of vector search technologies and AI workflow integration.
Comfortable working in cross-functional teams with a focus on technical architecture, production-grade code quality, and real-time AI service deployment.