
Senior Data Architect Engineer
2 weeks ago
Job Overview
We are seeking a seasoned professional to spearhead the development of our Data and AI Platform. The ideal candidate will possess in-depth knowledge of data architecture, distributed systems, and ML platform engineering.
Key Responsibilities
- Design and implement scalable, production-grade RESTful APIs for seamless integration across distributed systems and AI-powered applications.
- Proven experience designing and implementing ML pipelines, inference runtimes, and data retrieval frameworks.
- A deep understanding of LLM architecture, embeddings, vector search, and agentic workflows is essential.
- Strong proficiency with at least one programming language (e.g., Python, Go, Java) and AI/ML frameworks (e.g., LangChain, Haystack, Hugging Face Transformers).
Essential Skills and Qualifications
- Experience working with LLM orchestration frameworks, retrieval-augmented generation (RAG), and prompt engineering strategies.
- Familiarity with open-source projects like LangGraph, AutoGPT, CrewAI, and ReAct-based agent architectures.
- Excellent communication skills and a track record of delivering complex systems in fast-paced environments.
Requirements
- A strong understanding of distributed systems, data engineering, and machine learning concepts.
- Experience with building hybrid data systems (e.g., Spark, Kafka, Trino, Iceberg, Airflow).
Benefits and Deliverables
- Design and implementation of a scalable data platform.
- Development of a robust ML pipeline.
- Implementation of efficient data retrieval frameworks.
PREFERRED TOOLS AND TECHNOLOGIES
- Programming languages: Python, Go, Java.
- Ai/ml frameworks: LangChain, Haystack, Hugging Face Transformers.
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