About the Role: As a Staff Software Development Engineer in the video engineering team you will be leading the charge in how we organize and retrieve the worlds information. You will be the architect of the brain of our platform solving the hardest problems in semantic search and graph-based reasoning at a scale few companies ever reach. This role offers a unique opportunity to define the data infrastructure strategy that powers our GenAI future.
About the Team:You are a retrieval-oriented engineer with deep expertise in high-dimensional data relational structures and large-scale knowledge representation. You thrive on the challenge of bridging the gap between raw data and semantic understanding building the backbone for next-generation AI and discovery systems. You are passionate about data topology latent space optimization and the performance tuning of complex query engines. You constantly strive to reduce time-to-insight and maximize the precision of information retrieval at scale.
The pace of our growth is incredibleif you want to tackle the foundational challenges of RAG (Retrieval-Augmented Generation) knowledge graphs and semantic search at a global scale join us!
Key Responsibilities:
Lead the design and development of hybrid retrieval architectures combining vector similarity search with structured graph traversals.
Architect scalable data pipelines for the ingestion embedding and indexing of massive multi-modal datasets.
Innovate and prototype advanced retrieval techniques including multi-stage re-ranking graph-tooling for LLMs and dynamic metadata filtering.
Design and implement schemas for complex knowledge graphs ensuring high-performance relationship mapping and ontological integrity.
Build automated data validation and drift detection systems to monitor the quality of embeddings and the health of the vector space.
Drive technical implementation of Memory systems for AI agents focusing on long-term persistence observability and sub-second latency.
Champion data organization standards ensuring that disparate data sources are unified into a coherent searchable knowledge base.
Collaborate with AI Research and Product teams to evaluate emerging database technologies (e.g. HNSW optimizations GraphRAG) and integrate them into production.
Skills and Attributes for Success:
7 years of experience in data engineering or backend systems with a focus on high-performance data retrieval and storage.
BE/ in Computer Science Mathematics or equivalent. MS or PhD in a related field is a plus.
Expert proficiency in Python Java or Go with a strong grasp of distributed system design patterns.
Deep understanding of Vector Databases including indexing strategies (HNSW IVFFlat PQ) and distance metrics (Cosine Euclidean Dot Product). Experience with Pinecone Milvus Weaviate or Qdrant.
Strong background in Graph Databases (Neo4j AWS Neptune or ArangoDB) and query languages like Cypher or Gremlin.
Experience with Data Modeling and organization specifically in building semantic layers ontologies and taxonomies.
Hands-on experience with LLM orchestration frameworks (LangChain LlamaIndex) and embedding models (OpenAI HuggingFace Cohere).
Proficiency in large-scale data processing using Spark Flink or Kafka for real-time indexing and ETL.
Understanding of Information Retrieval (IR) fundamentals including BM25 TF-IDF and reciprocal rank fusion.
Experience with cloud-native infrastructure (AWS/GCP/Azure) and container orchestration (Kubernetes).
Preferred Education and Experience:
- Bachelors/masters in computer science or a related field with 7-9 years of professional experience
About Us
Perched firmly at the nucleus of spellbinding content and innovative technology JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week igniting the dreams and aspirations of hundreds of million people across geographies.
JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities gender gender identity and any other characteristics or status that is legally protected.
If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
About the Role: As a Staff Software Development Engineer in the video engineering team you will be leading the charge in how we organize and retrieve the worlds information. You will be the architect of the brain of our platform solving the hardest problems in semantic search and graph-based reasoni...
About the Role: As a Staff Software Development Engineer in the video engineering team you will be leading the charge in how we organize and retrieve the worlds information. You will be the architect of the brain of our platform solving the hardest problems in semantic search and graph-based reasoning at a scale few companies ever reach. This role offers a unique opportunity to define the data infrastructure strategy that powers our GenAI future.
About the Team:You are a retrieval-oriented engineer with deep expertise in high-dimensional data relational structures and large-scale knowledge representation. You thrive on the challenge of bridging the gap between raw data and semantic understanding building the backbone for next-generation AI and discovery systems. You are passionate about data topology latent space optimization and the performance tuning of complex query engines. You constantly strive to reduce time-to-insight and maximize the precision of information retrieval at scale.
The pace of our growth is incredibleif you want to tackle the foundational challenges of RAG (Retrieval-Augmented Generation) knowledge graphs and semantic search at a global scale join us!
Key Responsibilities:
Lead the design and development of hybrid retrieval architectures combining vector similarity search with structured graph traversals.
Architect scalable data pipelines for the ingestion embedding and indexing of massive multi-modal datasets.
Innovate and prototype advanced retrieval techniques including multi-stage re-ranking graph-tooling for LLMs and dynamic metadata filtering.
Design and implement schemas for complex knowledge graphs ensuring high-performance relationship mapping and ontological integrity.
Build automated data validation and drift detection systems to monitor the quality of embeddings and the health of the vector space.
Drive technical implementation of Memory systems for AI agents focusing on long-term persistence observability and sub-second latency.
Champion data organization standards ensuring that disparate data sources are unified into a coherent searchable knowledge base.
Collaborate with AI Research and Product teams to evaluate emerging database technologies (e.g. HNSW optimizations GraphRAG) and integrate them into production.
Skills and Attributes for Success:
7 years of experience in data engineering or backend systems with a focus on high-performance data retrieval and storage.
BE/ in Computer Science Mathematics or equivalent. MS or PhD in a related field is a plus.
Expert proficiency in Python Java or Go with a strong grasp of distributed system design patterns.
Deep understanding of Vector Databases including indexing strategies (HNSW IVFFlat PQ) and distance metrics (Cosine Euclidean Dot Product). Experience with Pinecone Milvus Weaviate or Qdrant.
Strong background in Graph Databases (Neo4j AWS Neptune or ArangoDB) and query languages like Cypher or Gremlin.
Experience with Data Modeling and organization specifically in building semantic layers ontologies and taxonomies.
Hands-on experience with LLM orchestration frameworks (LangChain LlamaIndex) and embedding models (OpenAI HuggingFace Cohere).
Proficiency in large-scale data processing using Spark Flink or Kafka for real-time indexing and ETL.
Understanding of Information Retrieval (IR) fundamentals including BM25 TF-IDF and reciprocal rank fusion.
Experience with cloud-native infrastructure (AWS/GCP/Azure) and container orchestration (Kubernetes).
Preferred Education and Experience:
- Bachelors/masters in computer science or a related field with 7-9 years of professional experience
About Us
Perched firmly at the nucleus of spellbinding content and innovative technology JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week igniting the dreams and aspirations of hundreds of million people across geographies.
JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities gender gender identity and any other characteristics or status that is legally protected.
If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
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Posted on:
6 hours ago
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