
Chief Data Architect
3 days ago
Job Overview
We are seeking a highly motivated and technically skilled professional with 3–4 years of experience in designing, building, and scaling intelligent systems.
Main Responsibilities:
- Develop AI/LLM-enabled applications focusing on modularity, scalability, and maintainability.
- Create and optimize RAG pipelines for enterprise or product-based use cases.
- Analyze and transform unstructured data into structured knowledge systems using embeddings, vector stores, and knowledge graphs.
- Select suitable GenAI tools, frameworks, and models balancing performance, latency, cost, and data security.
- Refine application behavior and prompts 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 assessing their potential for production use.
- Collaborate with cross-functional teams integrating intelligent features seamlessly.
- Document technical decisions, model behavior, system limitations, and assumptions clearly.
Required Skills & Qualifications:
- 3–4 years of hands-on experience in AI/ML, data engineering, or full-stack development with a strong foundation in intelligent system design.
- In-depth understanding of Large Language Models 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.
- Awareness of ethical and security concerns in AI including safety, fairness, and responsible deployment.
- Ability to assess and articulate trade-offs in system design.
Benefits:
- Competitive compensation and performance-based bonuses.
- Opportunities for learning, research, and career growth in cutting-edge AI technologies.
- A collaborative, transparent, and inclusive work environment.
Key Skills:
- Generative AI (GenAI)
- RAG pipelines
- Python
- API integration
- AI/LM
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