Generative AI/ML Engineer: RAG, LLMs & Azure Stack

L&T Technology Services; Plano (TX); On-site; USD 74,500 - 94,500; Full time

Job summary

L&T Technology Services in Plano, TX is seeking an AI ML Engineer to design, develop, and deploy Generative AI apps with a focus on retrieval-augmented generation and agentic workflows.

Responsibilities include building agentic apps, optimizing RAG databases, integrating LLMs with Azure OpenAI, and implementing guardrails for production systems. Collaboration with data engineers is essential.

Qualifications

• 2+ years of AI/ML engineering or data science experience.
• Hands-on Python development with ML frameworks and Langchain.
• Experience with Azure AI stack and vector databases (RAG).

Responsibilities

• Design and build agentic applications using Langchain and enterprise data sources.
• Build and optimize RAG vector databases for agent use with Azure AI Search or similar.
• Integrate LLMs (Azure OpenAI) into enterprise apps with prompt engineering.
• Implement evaluation, monitoring, and guardrails for AI systems.
• Collaborate with data engineers and application teams to productionize AI solutions.
• Optimize performance, latency, and cost for large-scale deployments.
• Communicate insights clearly to technical and non-technical stakeholders.

Skills

Python

Langchain

RAG architectures

Vector search

Azure Databricks

Azure AI Search

Azure OpenAI

APIs

Microservices

Git/GitHub

Tools

Git

Job description

L&T Technology Services in Plano, TX is seeking an AI ML Engineer to design, develop, and deploy Generative AI apps with a focus on retrieval-augmented generation and agentic workflows.

Responsibilities include building agentic apps, optimizing RAG databases, integrating LLMs with Azure OpenAI, and implementing guardrails for production systems. Collaboration with data engineers is essential.