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GenAI Engineer

Maruti Suzuki
Gurugram, IND
Full-time
Mid
Discovered 1 months ago
awsbedrockdatabricksneo4jpower-bipython

Full Job Posting

Responsibilities

  • Lead the design and development of Gen-AI solutions, integrating them with business intelligence platforms to deliver new analytical capabilities
  • Collaborate with business stakeholders to translate Business needs into technical requirements.
  • Design and implement robust data models, including semantic layers and knowledge graphs, to establish clear relationships between structured and unstructured data.
  • Collaborate with Data Engineering team to define optimized and efficient pipelines for Metadata ingestion and Data Processing.
  • Develop and implement advanced prompt engineering strategies and Agentic RAG systems to ensure accurate, context-aware responses from Gen-AI models.
  • Design and develop Agentic AI systems to enable autonomous decision making tasks.
  • Monitor and evaluate model performance, ensuring continuous improvement in output quality, relevance, and user experience.
  • Ensure responsible and ethical AI development, including bias mitigation, transparency, and compliance with data governance policies.
  • Integrate Gen-AI models with existing BI tools, databases, and APIs to enable On-demand BI Reporting and conversational analytics.
  • Conduct research on emerging Gen-AI trends, especially in enterprise analytics, and implement innovative methodologies.
  • Documentation and version management of all Sprint Artefacts

Essential

  • Expertise in Gen-AI model development, fine-tuning, prompt engineering, and developing RAG architecture.
  • Strong Python skills; experience with PyTorch or TensorFlow.
  • Strong proficiency in dimensional modeling (star/snowflake schemas), data warehousing concepts, and semantic layer design.
  • Ability to design, implement, and leverage knowledge graphs to represent complex data relationships using Neo4J/AWS Neptune
  • Hands-on experience with BI platforms (e.g., Tableau, Power BI) and their integration with AI systems.
  • Experience with web scraping libraries like BeautifulSoup, Scrapy, or Selenium.
  • Understanding of multi-agent systems and various communication architectures (e.g., MCP, Agent2Agent communication).
  • Experience with LLM orchestration, or agent-based frameworks like AutoGen, Crew AI etc.

Desirable

  • Working experience with Gen-AI cloud platforms such as AWS Bedrock/Databricks Mosaic AI.
  • Knowledge of MLOps and CI/CD for ML workflows.
  • Experience in Automobile Engineering Datasets.

Behavioral

  • Excellent interpersonal skills
  • Amazing Team player and self-motivated individual
  • Creativity and ability to bring in innovative ideas for Kaizen and solving everyday problems

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