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Tier-1 brand, popular AI Engineer title, mid-level (3-6yr), and Bangalore metro drive high applicant competition.
Core AI engineering skills (Python, LLMs, LangChain, vector DBs) are highly transferable across industries.
Explicit 3–6 year requirement plus mandatory LLM, LangChain, vector DB and cloud skills makes shortlisting strict.
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Design, develop, and maintain high-quality AI software solutions including RAG pipelines, intelligent assistants, and text analytics workflows.
Implement and optimize AI models using prompt engineering, context engineering, and frameworks like LangChain or LangGraph, deploying solutions on at least two cloud platforms such as Azure, AWS, or GCP.
Support production-ready AI systems through observability, monitoring, CI/CD pipelines, testing, and collaboration with stakeholders to resolve issues promptly.
3-6 years of programming experience, proficient in Python for AI and machine learning development.
Good understanding of large language models (LLMs), embeddings, prompting, and AI application patterns such as RAG and agent-based workflows.
Hands-on experience with at least one AI framework such as LangChain, LangGraph, or similar, plus familiarity with vector databases like Pinecone, Weaviate, ChromaDB, or FAISS.
Experience in software development lifecycle, version control (Git), API integration, and Agile/Scrum collaboration practices.
Experienced in building and deploying end-to-end AI applications in cloud environments (Azure, AWS, or GCP).
Strong problem-solving skills with the ability to debug, evaluate, and continuously improve AI models and workflows.
Knowledgeable in AI-assisted development tools and comfortable working in cross-functional teams with product and engineering stakeholders.