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# AI Engineer

- **Company:** Brooksource
- **Location:** Houston, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Information Engineering, Memory Management, Python (Programming Language), Machine Learning, Search Technologies, Software Engineering, Systems Integration, Large Language Models, Snowflake, Prompt Engineering, Model Validation, Build Management, Microsoft Fabric, Machine Learning Operations, Api Design, Databricks
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/bbbf4069-b5f1-4d0e-a0b7-75c641ebeafe

## About the Role

* 3-6 years in software engineering or data science
 * Hands-on experience building AI agents
 * Ability to explain:
 + What you built
 + Why it works
 + Why it can be trusted
 * Experience with:
 + Azure AI Foundry
 + LangGraph (or similar)
 + Copilot / Microsoft AI stack
 + Agent registries (LangSmith, Agent 365, etc.)
 * Strong Python skills

Technical Skills

 * LLM application development
 * RAG systems and vector search
 * Prompt engineering and evaluation
 * API development and system integration
 * Experience with Databricks, Snowflake, or Microsoft Fabric
 * Exposure to data engineering concepts
 * Background in data science or machine learning
 * Familiarity with:
 + MLflow, LangSmith, or similar tools
 + Experimentation and model evaluation

## Description

We are hiring multiple AI Engineers to build next-generation agentic AI systems supporting enterprise initiatives like AI-driven sales enablement and workflow automation.

This role is ideal for engineers who have recently built AI agents (typically ~2 years) and can confidently explain how and why their systems work.

What You'll Do

 * Build and deploy AI agents and agentic workflows
 * Develop RAG pipelines (ingestion retrieval generation)
 * Work with orchestration frameworks to enable:
 + Multi-step reasoning
 + Tool usage
 + Memory management
 + Implement evaluation frameworks to measure:
 + Accuracy
 + Hallucination rates
 + Reliability
 * Contribute to production-grade AI systems with:
 + APIs
 + Testing
 + Monitoring
 * Collaborate with Lead and team on architecture and best practices


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