RAG-Driven AI/ML Engineer for Enterprise Apps (Onsite – Plano)

SFE; Plano (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

SFE in Plano, Texas is seeking an AI/ML Engineer to design, develop, and deploy Generative AI applications focused on Retrieval-Augmented Generation (RAG) and agentic workflows. The role requires hands-on experience with LLMs, vector databases, LangChain, and Azure AI services to build scalable, production-grade AI solutions integrated with enterprise data.

You will work with data engineers and application teams to optimize performance, latency, and cost for large-scale deployments, and

Qualifications

• Strong communication skills essential for cross-functional collaboration.
• Experience with AI/ML engineering and data science concepts is expected.
• Familiarity with LLMs, vector databases, and agent frameworks is required.

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.

Skills

Strong communication

Tools

Git

GitHub

LangChain

Azure Databricks

Azure OpenAI

Azure AI Search

Job description

SFE in Plano, Texas is seeking an AI/ML Engineer to design, develop, and deploy Generative AI applications focused on Retrieval-Augmented Generation (RAG) and agentic workflows. The role requires hands-on experience with LLMs, vector databases, LangChain, and Azure AI services to build scalable, production-grade AI solutions integrated with enterprise data.

You will work with data engineers and application teams to optimize performance, latency, and cost for large-scale deployments, and