AI Engineer
Brooksource
Houston, TX, United States
25 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+7 more
Prompt Engineering
Model Validation
Build Management
Microsoft Fabric
Machine Learning Operations
Api Design
Databricks
Job 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
Requirements
- 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
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