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Mid-level role, metro location, and broad LLM/AI skill requirements attract many qualified applicants.
Specialized LLM agent, RAG, and vector DB expertise limits transferability across industries.
Explicit 5+ years and mandatory LLM, Python, RAG, vector DB, cloud, and container skills.
Design, develop, and deploy AI agents and intelligent workflows using Generative AI, LLMs, and multi-agent systems for enterprise business applications.
Develop Retrieval-Augmented Generation (RAG) solutions integrating diverse data sources and enterprise knowledge repositories.
Ensure production-readiness, security, scalability, and compliance of AI solutions while collaborating with cross-functional teams for architecture and deployment.
Bachelor's or Master's degree in Computer Science, AI, Data Science, IT, or related field.
Minimum 5 years of experience in software development or AI solution design involving enterprise applications.
Proficiency in Python programming and hands-on experience with Generative AI, LLMs, AI agent frameworks, and RAG architectures.
Experience with cloud platforms (Azure, AWS, or GCP), containerization (Docker), REST APIs, databases, and CI/CD pipelines.
Experienced in designing scalable, secure AI systems aligned with enterprise transformation goals, especially using LLMs and autonomous agent frameworks.
Comfortable working in large-scale enterprise or industry-specific environments such as telecom, manufacturing, or automotive.
Familiar with AI orchestration tools, workflow platforms, AI governance, and responsible AI practices to ensure solution robustness and compliance.