
AI System Designer
5 days ago
We seek a highly motivated and technically sound professional with expertise in designing, building, and scaling intelligent systems.
- Design, prototype, and deploy AI/LLM-enabled applications focusing on modularity, scalability, and maintainability.
- Develop and fine-tune RAG pipelines tailored for enterprise or product-based use cases, optimizing 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.
Key Responsibilities:
- 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.
Required Skills & Experience:
- 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.
Benefits:
- Competitive compensation package.
- Opportunities for learning, research, and career growth in cutting-edge AI technologies.
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