Educational Requirements

- Bachelor of Engineering,BCS,BBA,BCom,MCA,MSc

Service Line

Data Analytics Unit

Responsibilities

- Generative AI Development
- Design and implement enterprise GenAI applications using LLMs.
- Develop multi-agent workflows and agentic AI systems using LangGraph.
- Build conversational AI, copilots, knowledge assistants, and intelligent automation solutions.
- Engineer prompts and workflows to optimize model performance and user experience.
- RAG Knowledge Systems
- Design and implement Retrieval-Augmented Generation (RAG) pipelines.
- Integrate vector databases and document retrieval frameworks.
- Optimize document chunking, embeddings, indexing, retrieval, and reranking strategies.
- Improve response accuracy, latency, and relevance of AI systems.

Additional Responsibilities
- Deployment Productionization
- Deploy and serve models using MLflow and Databricks.
- Monitor model performance, drift, and operational metrics.
- Implement CI/CD pipelines for AI and machine learning workloads.
- Ensure scalability, reliability, and observability of AI services.
- Leadership Mentorship




- Mentor junior engineers and AI practitioners.
- Conduct design reviews and architecture discussions.
- Define GenAI development standards and best practices.
- Collaborate with business stakeholders to identify AI use cases and translate them into solutions.

Technical and Qualified Requirements
- AI Platform Engineering
- Build scalable AI platforms on Databricks and cloud environments.
- Develop model lifecycle management solutions using MLflow.
- Implement model tracking, versioning, deployment, monitoring, and governance.
- Support MLOps and LLMOps initiatives.
- Data Engineering
- Build and optimize large-scale data pipelines using PySpark.
- Process structured and unstructured data for AI and analytics workloads.
- Collaborate with data engineering teams to build feature and knowledge pipelines.
- Ensure data quality, lineage, and governance standards.

Preferred Skills
- Retrieval-Augmented Generation (RAG)
- LangGraph
- LLMs
- Generative AI
- Databricks
- MLflow
- PySpark
- CI/CD
- MLOps/LLMOps

📌 Senior GenAI Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru