Required Skills & Qualifications Core GenAI Skills
· Hands-on experience with Generative AI / LLM-based systems in production.
· Strong experience with Model Context Protocol (MCP) for tool and data orchestration.
· Proven experience designing and implementing RAG architectures.
· Expertise in prompt design, context management, and retrieval strategies. Data Movement & Platform Skills
· Experience building generic utilities for data ingestion, transformation, and retrieval.
· Strong understanding of unstructured data handling (documents, logs, text, metadata).
· Familiarity with vector databases and embedding workflows.
· Experience designing scalable, reusable platform-level components. API & Software Engineering
· Strong experience designing and implementing RESTful APIs.
· Proficiency in one or more backend languages (Java, Python, or similar).
· Experience with asynchronous processing and event-driven systems.
· Strong understanding of distributed systems and scalability patterns.
Preferred Qualifications
· Experience building enterprise GenAI platforms or internal tooling.
· Familiarity with agent-based architectures and AI workflows.
· Experience integrating GenAI systems with data platforms and enterprise systems.
· Knowledge of cloud-native architectures (AWS, Azure, or Google Cloud Platform).
· Experience with containerization and CI/CD pipelines.
· Strong focus on responsible AI, governance, and compliance.
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