Senior AI Engineer: LLMs, RAG & Cloud-Native Apps

Wipro; England; On-site; GBP 90,000 - 130,000; Full time

Job summary

Wipro is seeking a Senior AI Engineer to design, build, and scale enterprise AI applications using Large Language Models, Agentic AI, Retrieval-Augmented Generation, and cloud-native technologies. The role collaborates with product teams, data engineers, and stakeholders to deliver secure, scalable, production-ready AI solutions that drive measurable business value.

You will work across architecture reviews, mentor engineers, and lead implementations from PoC to production, leveraging Docker,

Qualifications

• Proficient Python software engineering and asynchronous programming.
• Experience in LLM application development and agent orchestration.
• Strong knowledge of RAG architectures, embeddings, and semantic search.
• Familiarity with vector databases (e.g., Pinecone, Qdrant, Chroma).
• Hands-on cloud-native deployment using Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).

Responsibilities

• Design and develop enterprise AI applications using LLMs, Generative AI, Agentic AI, and RAG architectures.
• Build intelligent agent workflows using LangChain, LangGraph, LlamaIndex or similar frameworks.
• Develop scalable Python services, reusable AI components, secure APIs, and enterprise integrations.
• Deploy and optimise cloud-native AI apps with Docker, Kubernetes, and cloud services for cost efficiency.
• Lead technical discussions, contribute to architecture reviews, and mentor engineers from PoC to production.

Skills

Python

LLM development

Agentic AI

REST APIs

CI/CD

Tools

Docker

Kubernetes

Cloud Providers

LangChain

Vector databases

Job description

Wipro is seeking a Senior AI Engineer to design, build, and scale enterprise AI applications using Large Language Models, Agentic AI, Retrieval-Augmented Generation, and cloud-native technologies. The role collaborates with product teams, data engineers, and stakeholders to deliver secure, scalable, production-ready AI solutions that drive measurable business value.

You will work across architecture reviews, mentor engineers, and lead implementations from PoC to production, leveraging Docker,