Agentic AI Engineer

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

agent frameworks
Python
LLM APIs.

Job Details

Role: Agentic AI Engineer Location: TX, USA ||Relocation also acceptable.

Job Details

We re seeking an Agentic AI Engineer to build autonomous agents using LLMs and frameworks like Auto-GPT, BabyAGI, LangGraph, or CrewAI. The ideal candidate has hands-on experience designing systems that perform multi-step reasoning, decision-making, and task execution autonomously.

Key Responsibilities:

Design and implement AI agents capable of goal-based task planning and execution.

Develop multi-agent systems for collaboration and coordination.

Integrate tools like search, APIs, databases, or external apps with agents.

Work with graph-based memory and task orchestration frameworks (e.g., LangGraph, ReAct).

Evaluate and optimize reasoning loops and agent behavior.

Skills & Experience:

Experience with agent frameworks (Auto-GPT, LangGraph, CrewAI, etc.).

Knowledge of planning algorithms, memory stores, and tool invocation.

Proficiency in Python and LLM APIs.

Experience with asynchronous workflows and distributed systems is a plus.

Creative problem-solving and deep interest in frontier AI systems.

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.