
Expert Intelligent Systems Developer
1 week ago
We are seeking a highly motivated and technically sound individual to fill the role of Intelligent Systems Developer. The ideal candidate will bring hands-on expertise in Generative AI, Retrieval-Augmented Generation, vector databases, and cloud-native applications.
The successful applicant will be responsible for designing, prototyping, and deploying AI/LLM-enabled applications with a focus on modularity, scalability, and maintainability. They will also develop and fine-tune RAG pipelines tailored for enterprise or product-based use cases, optimizing for retrieval relevance and accuracy.
Key Responsibilities- Design and deploy AI/LLM-enabled applications with a focus on modularity, scalability, and maintainability.
- Develop and fine-tune RAG pipelines 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.
- 3–4 years of hands-on experience in AI/ML, data engineering, or full-stack development, with a strong foundation in intelligent system design.
- Deep understanding of Large Language Models (LLMs) — including concepts like embeddings, context windows, transformers, token limits, and memory strategies.
- Proven experience implementing RAG pipelines and working with vector databases and Knowledge Graphs.
- Familiarity with GenAI frameworks and orchestration tools such as LangChain, LlamaIndex, or similar.
- Proficiency in Python and experience developing backend logic and integrating with APIs.
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