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1 week ago
We are seeking a seasoned expert to lead the development of our cutting-edge Data and AI Platform. The ideal candidate will possess a deep understanding 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.
- Develop and maintain complex ML pipelines, inference runtimes, and data retrieval frameworks.
- Collaborate with cross-functional teams to architect and deploy hybrid data systems, leveraging technologies such as Spark, Kafka, Trino, Iceberg, and Airflow.
Preferred qualifications include experience with LLM orchestration frameworks, retrieval-augmented generation (RAG), and prompt engineering strategies, as well as familiarity with open-source projects like LangGraph, AutoGPT, CrewAI, and ReAct-based agent architectures.
Requirements- 10+ years of experience in data architecture, distributed systems, or ML platform engineering.
- Strong understanding of LLM architecture, embeddings, vector search, and agentic workflows.
- Proficiency with at least one programming language (e.g., Python, Go, Java) and AI/ML frameworks (e.g., LangChain, Haystack, Hugging Face Transformers).
- Proven track record of delivering complex systems in fast-paced environments.
The successful candidate will have opportunities for growth and development in a dynamic work environment.
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