AI/ML Engineer

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

We are seeking an AI ML Engineer to design, develop, and deploy Generative AI applications, with a focus on Retrieval-Augmented Generation (RAG) and agentic workflows. The ideal candidate will have hands‑on experience building applications using LLMs, vector databases, and agent harnesses, along with experience in Azure stack. This role involves developing scalable, production‑grade AI solutions that integrate enterprise data with advanced reasoning and automation capabilities

Responsibilities:

• Design and build agentic applications using Langchain or similar, integrating enterprise data sources (Azure Databricks, documents, APIs)
• Build and optimize RAG vector databases for use by agents using tools like Azure AI Search, or similar
• Integrate LLMs (Azure OpenAI, GPT models) into enterprise applications with proper prompt engineering and optimization
• Implement evaluation, monitoring, and guardrails for AI systems (accuracy, bias, hallucination control)
• Collaborate with data engineers and application teams to integrate AI solutions into production systems
• Optimize application performance, latency, and cost for large-scale deployments
• Communicate insights clearly to both technical and non-technical stakeholders

Minimum Qualifications

• 2+ years of experience in AI/ML Engineering, Data Science, or related field
• Experience using data from Azure Databricks or similar relational databases
• Strong hands‑on experience with Python (core development language), Git, Github; LLM frameworks especially Langchain; RAG architectures and vector search concepts
• Experience with Azure AI ecosystem, including Azure OpenAI models and Azure AI Search
• Understanding of AI ML concepts, LLMs, vector databases, RAG, agents
• Familiarity with APIs, microservices, MCP and scalable system design

The expected salary range for this position is between $74,500 to $94,500 annually. The actual salary may vary based upon several factors including, but not limited to, relevant skills/experience, time in role, base salary of internal peers, prior performance, business line, and geographic/office location.