Data Engineer / AI Systems Engineer

Dallas, TX | Full-Time | Direct Hire
Hybrid professional office environment | <10% domestic travel

About the Role

We’re looking for a Data Engineer / AI Systems Engineer to help build the next generation of intelligent business systems. This role combines data engineering, applied AI, and workflow automation to create scalable solutions that improve operational efficiency and decision-making across the organization.

You’ll work on modern AI initiatives including LLM-powered applications, agentic workflows, RAG pipelines, and enterprise automation tools while building the underlying data infrastructure that powers them.

What You’ll Do

Design and maintain scalable ETL pipelines and data models
Build and support data infrastructure using Python, SQL, Azure Data Factory, and related tools
Develop AI-powered applications using LLMs such as OpenAI and Anthropic
Implement Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases
Create agentic AI workflows for automation, reasoning, and multi-step task execution
Build APIs and backend services supporting AI and data-driven applications
Partner with business stakeholders to translate operational needs into technical solutions
Improve business efficiency through automation and intelligent workflows
Ensure systems are scalable, reliable, and high-performing
Manage multiple projects in a fast-paced environment

Required Qualifications

Experience in data engineering, ETL development, and data modeling
Strong SQL skills, including query optimization and large dataset management
Proficiency in Python
Experience with Azure Data Factory or similar data integration platforms
Hands-on experience building with LLM APIs (OpenAI, Anthropic, etc.)
Experience designing RAG pipelines and working with vector databases (Pinecone, FAISS, Azure AI Search, etc.)
Experience building AI automation or agentic workflows
Familiarity with cloud platforms such as Azure, AWS, or GCP
Experience with Git and modern development practices
Strong analytical, communication, and problem-solving skills
Ability to manage competing priorities in a fast-moving environment

Preferred Qualifications

Experience in fixed income, structured finance, or mortgage markets
Experience with unstructured data processing, OCR, or document extraction
Familiarity with Airflow or similar orchestration tools
Experience with Spark or distributed data processing frameworks

Education & Experience

Master’s degree in Computer Science, Engineering, Data Science, or related field preferred
1–3 years of relevant professional experience preferred
Strong project or internship experience in AI systems, automation, or data engineering will also be considered

Pay: $120,000.00 - $135,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Employee assistance program
Flexible schedule
Health insurance
Life insurance
Paid time off
Retirement plan
Vision insurance

Experience:

Data Engineering : 5 years (Required)
Systems engineering: 2 years (Required)

Location:

Dallas, TX 75206 (Required)

Ability to Commute:

Dallas, TX 75206 (Required)

Work Location: Hybrid remote in Dallas, TX 75206

Buchanan Technologies

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Data Engineer/AI Systems Engineer