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