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 settings.
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 (India)
🏢 Infosys
📍 India