AI/ML Engineer (Full Time)

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

Job Title: AI/ML Engineer

Location: Plano, Texas (Onsite)

Duration : Full Time

Job Description & Skill Requirement:

Job Summary: 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 Lang chain 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 Lang chain; 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
• Strong communication skills

Expertise And Qualifications:

RAG, Azure, AI, ML, LLM