AI Engineer

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Pune 6 Years Exp Posted 19d ago

Design and develop AI and Generative AI capabilities integrated with the existing cloud data platform.
Build enterprise applications using Large Language Models (LLMs) and foundation models.
Develop Retrieval-Augmented Generation (RAG) solutions using enterprise structured and unstructured data.
Design prompting, context management, grounding, and retrieval strategies for enterprise AI applications.
Build AI agents and agentic workflows for data discovery, analytics, operational automation, and knowledge retrieval.
Implement embeddings, semantic search, vector indexing, and vector database solutions.
Integrate enterprise data with LLM platforms and AI services through secure APIs.
Implement mechanisms for evaluating AI responses for accuracy, relevance, hallucination, and overall quality.
Develop appropriate guardrails, observability, monitoring, and responsible-AI controls for production AI applications.

Enhance and extend existing enterprise cloud data platform capabilities.
Design and develop scalable data ingestion, transformation, and processing pipelines.
Work with structured, semi-structured, and unstructured datasets.
Build reusable data services and APIs that can be consumed by AI applications.
Optimize data pipelines and storage for performance, scalability, reliability, and cost.
Support data quality, metadata management, lineage, governance, and security requirements.
Work with batch and real-time/streaming data processing patterns.
Ensure AI solutions integrate effectively with existing data architecture and enterprise security standards.

Translate business requirements and use cases into scalable AI/data engineering solutions.
Develop reusable frameworks and components for AI-enabled data platform capabilities.
Conduct technical POCs and rapidly evaluate new AI technologies and frameworks.
Productionize successful prototypes following enterprise engineering standards.
Collaborate with Data Architects, Data Engineers, Cloud Engineers, Data Scientists, Product Owners, and business stakeholders.
- Participate in architecture/design discussions, code reviews, troubleshooting, and performance optimization.