Data Engineer GenAI & Intelligent Agents.
Location : Hyderabad, India.
Department : Data & AI Platform.
Experience : ~4 years total IT experience, including ~1 year hands-on with GenAI Agentic systems.
Role Overview :
This role focuses on designing, building, and optimizing GenAI-enabled data pipelines, working with LLMs, LangChain / LangGraph, and developing autonomous / human-in-the-loop agentic workflows.
You will collaborate closely with data scientists, ML engineers, and platform teams to operationalize AI-driven reasoning, contextual knowledge retrieval, and graph-based inference within DAZNs global data platform.
This is an opportunity to work at the intersection of data engineering + AI agents + knowledge graphs, solving problems that directly impact streaming quality, content intelligence, discovery, and fan engagement.
Key Responsibilities :
GenAI & Agentic Workflow Engineering :
- Build and maintain pipelines that integrate LLMs, LangChain, LangGraph, and other orchestration frameworks.
- Develop autonomous and human-in-the-loop agent workflows for data retrieval, transformation, validation, and enrichment.
- Implement graph-based reasoning pipelines to support complex querying, relationship mapping, and semantic search.
Data Pipeline & Infrastructure Development :
Design, optimize, and scale data ingestion and transformation pipelines using Python, SQL, and cloud-native technologies.Work with streaming and structured / unstructured datasets that feed analytics, personalization services, and operational dashboards.Automate workflows, build reusable components, and enhance data observability, lineage, and quality frameworks.LLM Integration & Productionization :
Integrate LLMs (OpenAI, AWS Bedrock, Gemini, etc.) into DAZN data systems via retrieval-augmented generation (RAG), prompt engineering, and agent-based reasoning.Build evaluation, monitoring, and guardrail mechanisms for safe and reliable GenAI execution.Collaborate with platform engineering to deploy models and services in scalable, production-grade architectures.Data Quality, Governance & Optimization :
Implement proactive data validation, anomaly detection, and quality monitoring using agent-based or rule-based systems.Ensure consistency, accuracy, and reliability of data assets consumed across DAZN product and analytics teams.Maintain strong documentation and configuration management for all pipeline components.Cross-functional Collaboration :
Work closely with data scientists, ML engineers, backend teams, and analytics stakeholders to translate requirements into robust data solutions.Participate in architectural discussions and contribute to the evolution of DAZNs AI-data ecosystem.Advocate for best practices in GenAI engineering, agent systems, and data platform modernization.Required Skills & Experience :
Core Technical Skills :
~4 years of total IT experience, with ~1 year of hands-on experience building GenAI / Agentic systems.Strong programming skills in Python with experience in :LangChain / LangGraph.Prompt engineering & LLM tool calling.Graph-based reasoning or vector-search tools.Solid SQL expertise for building and optimizing transformations.Experience building and deploying scalable data pipelines using cloud services (AWS preferred).GenAI & Agents Experience :
Practical experience building :Multi-agent workflows.Autonomous agents.Retrieval-augmented pipelines.Human-in-the-loop systems.Familiarity with vector databases, embeddings, and semantic retrieval.Understanding of agent routing, memory, and tool orchestration patterns.Additional Preferred Skills :
Experience with any of the following is a plus :Snowflake, dbt, Airflow.AWS Bedrock, Sagemaker, OpenSearch.Neo4j, Neptune, or other graph DBs.Knowledge graphs or ontology design.Experience supporting data science or ML-driven products.Soft Skills :
Strong communication and documentation skills.Ability to work in a fast-paced, global, collaborative environment.Ownership mindset with focus on impact, speed, and quality.Why Join DAZN Hyderabad? :
Work on cutting-edge GenAI + data platform initiatives at massive global scale.Solve real-world challenges across content intelligence, personalization, discovery, and streaming analytics.Collaborate with high-performing teams across London, Japan, Italy, Poland, and the US.Opportunity to grow into specialized AI engineering leadership roles as DAZN scales its Data & AI org.(ref : hirist.tech)