AI Engineer (Agentic AI)

TechDigital Group; Southlake (TX); On-site; USD 100,000 - 150,000; Full time

Job summary

A leading AI solutions provider in Southlake, Texas is seeking a candidate to design and deploy autonomous AI systems. The ideal applicant will have strong programming skills, particularly in Python, and experience with agentic frameworks like LangChain. Responsibilities include developing RAG pipelines and deploying scalable workflows on cloud platforms such as AWS and Azure.

Qualifications

• Experience in designing and deploying autonomous AI systems.
• Background in developing agent communication and decision-making frameworks.

Responsibilities

• Design and implement agentic frameworks for AI systems.
• Develop and integrate Retrieval-Augmented Generation (RAG) pipelines.
• Deploy scalable AI workflows on cloud platforms like AWS or Azure.

Skills

Strong programming skills in Python

Experience with object-oriented languages like Java

Proficiency in agentic frameworks and libraries like LangChain

Experience with AI and machine learning concepts

Experience with cloud platforms (AWS, GCP, or Azure)

Familiarity with LLMs

Job description

Overview

Designs, develops, and deploys autonomous AI systems that can reason, adapt, and act independently to achieve goals.

• Implementing agentic frameworks like LangChain or custom solutions for agent-to-agent communication, dynamic task assignment, and context-aware decision-making.


• Working experience with LLMs (LLaMA, GPT) for language understanding, generation, and task planning.


• Developing and integrating Retrieval-Augmented Generation (RAG) pipelines to enhance agents' reasoning capabilities by grounding them in domain-specific knowledge.


• Implementing multi-agent communication protocols for agent collaboration and coordination.


• Deploying scalable AI workflows on cloud platforms like AWS, Azure or GCP, optimizing for latency and resource utilization.

Skills

• Strong programming skills in Python and experience with object-oriented languages like Java.


• Proficiency in using agentic frameworks and libraries like LangChain, AutoGen, or LlamaIndex.


• Experience with AI and machine learning concepts.


• Experience with cloud platforms (AWS, GCP, or Azure).


• Familiarity with LLMs and their application in agentic systems.