Agentic AI Engineer

Quest Global

Conroe (TX)

On-site

USD 100,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Paid time off
Retirement plan

Job summary

Quest Global is seeking an experienced professional to design, architect, and implement agentic AI systems in Conroe, Texas. The role requires a Bachelor's in a STEM field and 4+ years of software experience, with emphasis on AI/ML solutions.

The ideal candidate will oversee end-to-end delivery and integration with enterprise data, ensuring system reliability. A comprehensive benefits package is offered, including health insurance and retirement plans.

Qualifications

  • 4+ years of experience in software or related domain.
  • 2+ years specialized in AI/ML, LLM solutions, and hands-on development of agentic systems.
  • Experience deploying LLM/agent workflows in production.

Responsibilities

  • Design and implement agentic AI systems using orchestration patterns.
  • Own end-to-end delivery ensuring reliability and human-in-the-loop controls.
  • Integrate systems with enterprise data sources and internal APIs.

Skills

Python
REST APIs
Prompt engineering
RAG pipelines
Stateful agent orchestration frameworks

Education

Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM discipline

Tools

Azure AI Foundry
Databricks

Job description

What You Will Do
  • Design, architect, and implement agentic AI systems using appropriate orchestration patterns, frameworks, LLM integrations, and tooling to support complex, risk‑aware workflows.
  • Own end‑to‑end delivery from prototype to production, ensuring strong data grounding, reliability, human‑in‑the‑loop controls, escalation paths, and graceful failure behavior in live systems.
  • Integrate agentic systems with enterprise data sources, internal APIs, and third‑party tools in compliance with security, privacy, and data governance policies.
  • Identify opportunities to automate workflows and enhance decision‑making using AI‑driven approaches.
  • Partner with process owners, domain experts, and governance teams to translate business problems into trusted, usable AI solutions.
  • Contribute to development of data science and AI strategy.
  • Evaluate emerging technologies in Gen AI and recommend adoption to improve capabilities.
  • Support intellectual property development, including publications and patents.
  • Participate in industry forums, conferences, and technical communities.
Required Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM discipline.
  • 4+ years of experience in software or related domain.
  • 2+ years specialized in AI/ML, LLM solutions, and hands‑on development of agentic systems and autonomous workflows.
  • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent).
  • Experience in deploying and operating LLM/agent workflows in production, including monitoring and evaluation.
  • Experience with Azure AI Foundry or comparable platforms for agent development, deployment, evaluation, and safety controls.
  • Working knowledge of Azure‑based cloud environment and Databricks.
  • Ability to work independently and deliver end‑to‑end solutions.
  • Self‑directed learner with strong problem‑solving skills and practical business judgment.
Preferred Qualifications
  • Master’s degree or higher in a STEM field.
  • Exposure to drilling, oil & gas, or industrial data environments.
  • Experience collaborating with cross‑functional teams (engineering, product, operations).
Compensation

Pay range: $100K–$120K

Benefits

We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.

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