Position: AI Engineer – Enterprise Hydrocarbon Inventory

Experience: 7+ years overall, with strong hands-on AI/GenAI engineering experience.

Location: India – Bangalore / Hyderabad preferred

Joining: Immediate / Short Notice candidates preferred.

1. Design, build, and deploy Agentic AI / GenAI solutions for enterprise data engineering and analytics use cases.
2. Strong hands-on experience with Azure AI Foundry and Azure OpenAI is highly preferred.
3. Hands-on experience with LangChain, Semantic Kernel, or similar Agentic AI frameworks.
4. Solid understanding and implementation experience of RAG, vector databases, prompt engineering, and LLM evaluation.
5. Experience developing multi-agent workflows / agent orchestration for enterprise applications.
6. Build AI agents for data product generation, data onboarding, reconciliation, testing, RCA, analytics, and business Q&A;.
7. Strong hands-on Python, PySpark, SQL, Databricks, Delta Lake, and Azure data engineering experience.
8. Experience with Unity Catalog, Azure Data Factory, ETL/ELT, data modeling, and enterprise data platforms.
9. Develop AI-assisted capabilities for pipeline generation, schema mapping, metadata discovery, transformation, and documentation.
10. Hands-on experience automating data quality, unit testing, reconciliation, validation, monitoring,



and observability using AI.
11. Experience integrating AI-generated testing and validation into CI/CD pipelines.
12. Strong exposure to Power BI, DAX, semantic models, dashboard generation, and data storytelling is required/preferred.
13. Strong software engineering fundamentals including REST APIs, microservices, Git/GitHub, CI/CD, and testing frameworks.
14. Experience implementing AI guardrails, security, access controls, auditability, prompt management, and Responsible AI.
15. Understanding of data lineage, metadata management, data quality, and enterprise data governance.
16. Experience integrating AI solutions with Databricks, Power BI, Azure Data Factory, Azure AI Foundry, and enterprise data platforms.
17. Experience with SAP, Right Angle (RA), Endur, CIRCA, JDE, HFM, or Energy Components is highly desirable.
18. Domain exposure to Hydrocarbon Inventory, Supply & Trading, Commodity Trading, or Working Capital is an added advantage.
19. Candidates must demonstrate hands-on project implementation; resumes containing only keyword mentions without project evidence should not be submitted.
20. Preference will be given to candidates who have built production-grade Agentic AI solutions integrated with enterprise data platforms.

📌 Senior AI Engineer – Agentic AI & Data Engineering (Bengaluru)
🏢 Innova ESI
📍 Bengaluru