Infosys
Website:
infosys.com
Company:
https://www.linkedin.com/company/infosys
Seniority: Not Applicable
Industries: IT Services and IT Consulting
Job details:
- Design and develop enterprise-grade Generative AI solutions using Python and modern AI frameworks.
- Build AI applications using LLMs, embeddings, prompts, function calling, tool usage, and agentic AI patterns.
- Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and generation use cases.
- Design end-to-end AI solutions covering:
- Data ingestion o Data processing o Retrieval o Generation o Evaluation
- Work with Agentic AI frameworks such as CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, and Langfuse.
- Apply prompt engineering strategies to improve LLM accuracy, reliability, and usability.
- Evaluate the suitability of fine-tuning vs RAG based on business and technical requirements.
- Support LLM fine-tuning workflows including instruction tuning and supervised fine-tuning.
- Manage data preparation for fine-tuning, including train/validation splits, data quality checks, and contamination prevention.
- Deploy AI workloads on cloud platforms such as Azure, AWS, or GCP.
- Containerize AI applications using Docker and work with basic Kubernetes concepts.
- Apply model engineering best practices for scalable, reliable, and production-ready AI systems.
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