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Ai Engineer

  • Ai Engineer job type Posted on: Nov 11, 2026
  • Ai Engineer experience level Akaasa Technologies
  • Ai Engineer employment type Houston, Texas
  • Ai Engineer employment type Onsite
  • Ai Engineer salary Full-time

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Job Title :

Ai Engineer

Job Type :

Full-Time

Job Location :

Houston Texas United States

Remote :

No

Jobcon Logo Job Description :

23 TOTAL OPENINGS!!

Please start by searching locals and focus on the tech stack provided below. Here are some questions that will be asked and be focus points in the interviews:

-Can you briefly explain what Azure AI Foundry is and how it fits into the broader Azure ecosystem?

-How does Azure AI Foundry support model development and deployment? Can you walk me through a typical workflow?

-Which Azure tools or services do you consider essential for scalable AI integration, and why?

-How do you approach security and compliance when deploying AI models in Azure?

-Can you describe a recent project where you leveraged Azure Cloud services to optimize the development lifecycle?

-How have you used Copilot Studio in production?

-When would you use Copilot Studio vs a custom LangChain app?

-What problems does LangGraph solve compared to basic LangChain chains?

POSITION

AI Engineer (20+ openings)

LOCATION

Houston, TX (full onsite) locals get first priority

REQUIRED SKILLS

Halliburton's Core Tech Stack:

  1. Microsoft AI Foundry: Core AI development/platform layer
  2. Copilot Studio: Copilots and AI agents
  3. LangGraph: Agentic AI workflows and orchestration
  4. LangSmith: LLM/agent tracing, testing and observability
  5. Python: Core development language
  6. Databricks: Data engineering, processing and AI/ML workloads

Jobcon Logo Position Details

Posted:

Nov 11, 2026

Reference Number:

34470-20508

Employment:

Full-time

City:

Houston

Job Origin:

CIEPAL_ORGANIC_FEED

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23 TOTAL OPENINGS!!

Please start by searching locals and focus on the tech stack provided below. Here are some questions that will be asked and be focus points in the interviews:

-Can you briefly explain what Azure AI Foundry is and how it fits into the broader Azure ecosystem?

-How does Azure AI Foundry support model development and deployment? Can you walk me through a typical workflow?

-Which Azure tools or services do you consider essential for scalable AI integration, and why?

-How do you approach security and compliance when deploying AI models in Azure?

-Can you describe a recent project where you leveraged Azure Cloud services to optimize the development lifecycle?

-How have you used Copilot Studio in production?

-When would you use Copilot Studio vs a custom LangChain app?

-What problems does LangGraph solve compared to basic LangChain chains?

POSITION

AI Engineer (20+ openings)

LOCATION

Houston, TX (full onsite) locals get first priority

REQUIRED SKILLS

Halliburton's Core Tech Stack:

  1. Microsoft AI Foundry: Core AI development/platform layer
  2. Copilot Studio: Copilots and AI agents
  3. LangGraph: Agentic AI workflows and orchestration
  4. LangSmith: LLM/agent tracing, testing and observability
  5. Python: Core development language
  6. Databricks: Data engineering, processing and AI/ML workloads

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