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4 days ago
We are seeking a highly motivated and technically sound professional to lead the design, development, and deployment of intelligent systems. The ideal candidate will bring hands-on expertise in Generative AI (GenAI), Retrieval-Augmented Generation (RAG), vector databases, and cloud-native applications.
The successful candidate will have a deep understanding of the mechanics, ethical considerations, and trade-offs involved in deploying AI technologies in production environments.
Key Responsibilities- Design, prototype, and deploy AI/LLM-enabled applications with a focus on modularity, scalability, and maintainability.
- Develop and fine-tune RAG pipelines tailored for enterprise or product-based use cases, optimizing for retrieval relevance and accuracy.
- Work with unstructured data — documents, transcripts, APIs — and transform them into structured knowledge systems using embeddings, vector stores, and knowledge graphs.
- Evaluate and select appropriate GenAI tools, frameworks, and models, balancing performance, latency, cost, and data security.
- Monitor application behavior and refine prompts, retrieval logic, and context engineering to enhance response quality.
- Identify and communicate system edge cases and risks — including hallucination, bias, prompt injection, and model over-reliance.
- Stay current with cutting-edge AI research, frameworks, and methodologies, and assess their potential for production use.
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