Gen-AI Engineer

Essential: B. E. / B. Tech. / M. Tech. in any branch, Desirable: § Specialization in Computer Science, Data science/ML or AI. Role: Gen -AI Engineer 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 Technical Skills / Experience 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 Beautiful Soup, 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 Search Skill-keywords Current/Previous Employer (NOTE: not limited to) · RAG Architecture · Agentic AI · Semantic Modeling · MCP · Knowledge Graphs · Neo4J · AWS Neptune · Advanced Prompt Engineering · Gen-AI · LLM · SFT