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Senior, niche Agentic AI role at a lesser-known consulting firm reduces applicant density despite Bangalore metro.
High because Agentic AI, LLMs, RAG, and vector database expertise are domain-specific and less transferable across industries.
High due to explicit 8–12 years requirement and many mandatory AI/LLM, RAG, vector DB, data engineering, and Python skills.
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Design, develop, and deploy autonomous AI agent solutions using Agentic AI frameworks for enterprise applications.
Build and maintain scalable ETL/ELT data pipelines handling structured and unstructured data integration.
Optimize and integrate AI applications with enterprise systems, applying best practices in prompt engineering, observability, and AI safety.
8-12 years of software engineering experience with AI/ML and Data Engineering focus.
Bachelor's (BE/B.Tech) or Master's degree in Computer Science or related field.
Strong programming skills in Python and SQL.
Hands-on experience with Agentic AI, Large Language Models, RAG applications, vector databases, semantic search, and cloud platforms (Azure, AWS, or GCP).
Experienced in building both single-agent and multi-agent autonomous AI systems using modern Agentic AI frameworks.
Proficient in integrating AI solutions with enterprise APIs and third-party services within hybrid cloud environments.
Skilled in developing scalable AI solutions incorporating ETL/ELT pipelines and applying CI/CD methodologies.