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AI Engineer

Hybrid in Plano, TX, US • Posted 3 days ago • Updated 3 days ago

Contract W2

Contract Independent

Hybrid

$60 - $70/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

API
Artificial Intelligence
Generative Artificial Intelligence (AI)
Microsoft Azure
Machine Learning (ML)
GitHub
LangChain
Python
Prototyping
Prompt Engineering

Summary

API Development and Integration (Strong), Generative AI Fundamentals (Strong), GitHub, Microsoft Azure Artificial Intelligence and Machine Learning (Strong), Prompt Engineering with LLMs (Strong).
Minimum 7 Years of experience, 2-3 years as a lead.
Agentic AI - Tech Lead Hands-on, real-time implementation

Job Description:

Design, develop, and deploy autonomous AI agents capable of multi-step reasoning, planning, and decision-making in real-world applications.
Build and orchestrate agent workflows using frameworks such as LangChain, LangGraph, and similar modern agent tooling.
Integrate AI agents with external systems including APIs, databases, and SaaS platforms to enable end-to-end task execution .
Develop advanced prompt engineering strategies, memory architectures, and tool-use capabilities for reliable agent behaviors.
Deploy, monitor, and maintain AI agents in production environments, ensuring scalability, robustness, and observability.
Optimize agent performance across latency, cost, and reliability metrics.
Debug, evaluate, and continuously improve agent decision-making through testing, logging, and feedback loops.
Collaborate closely with product, engineering, and data teams to embed AI agents into business-critical workflows.
Write clean, maintainable, and production-ready code primarily in Python (experience with backend systems and APIs strongly preferred)
Stay current with emerging agent frameworks, LLM capabilities, and best practices in applied AI systems.

Preferred Qualifications:

Hands-on experience building and deploying AI agents into production (not just prototypes or demos)
Strong experience with agent frameworks (e.g., LangChain, LangGraph, or equivalent ecosystems)
Familiarity with LLM providers and tools such as GitHub Copilot or Claude
Experience with distributed systems, async processing, and production monitoring/logging tools
Solid understanding of software engineering fundamentals, system design, and API development

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10302987
Position Id: 8957603
Posted 3 days ago

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