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Mid-level AI engineer in Bangalore with broad LLM skillset creates high applicant density and competition.
Specialized LLM and enterprise integration skills are transferable but favor AI-experienced candidates.
Explicit 3+ years and multiple mandatory LLM, infra, and deployment skills increase filtering.
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Design, build, and deploy AI applications using Large Language Models, multimodal AI, and intelligent agents with scalable infrastructure.
Develop reusable AI services, APIs, and integrations for enterprise workflows and production deployments.
Optimize AI system performance, reliability, and security; collaborate with cross-functional teams to deliver customer-centric AI solutions.
3+ years experience in AI, machine learning, or backend software development.
Strong proficiency in Python and experience with LLMs, prompt engineering, RAG pipelines, and AI agent frameworks.
Experience with LangChain, LlamaIndex, vector databases, cloud platforms (AWS/Azure/GCP), Docker, Kubernetes, and software engineering best practices.
Work Experience Required: 3+ years
Demonstrates full ownership of complex AI products connecting technical execution to business impact.
Experienced in building scalable, production-ready enterprise AI systems and multi-agent workflows.
Comfortable working in fast-paced startup environments with strategic focus on delivering measurable AI outcomes for customers.