AI Engineer

AI Engineer

Dallas, TX hybrid role

JOB DESCRIPTION:

We are looking for a  AI Engineer / Developer to lead the development of intelligent, autonomous agents that can reason, plan, and act to accomplish complex tasks. You will be responsible for designing and deploying agentic AI systems that integrate large language models (LLMs), reasoning engines, reinforcement learning, and decision-making frameworks in dynamic, real-world environments.

You will work closely with cross-functional teams including product, research, and infrastructure engineering to build robust and scalable agentic AI solutions across a variety of use cases.

Key Responsibilities:

• Design and develop autonomous, goal-directed agent systems using LLMs, planning algorithms, and reinforcement learning.
• Integrate memory, tools, and feedback mechanisms into agentic workflows for continuous learning and adaptability.
• Implement multi-agent systems for collaborative task execution and coordination.
• Build and maintain toolchains and frameworks for agent planning, reasoning, execution, and monitoring.
• Collaborate with researchers and engineers to prototype and deploy agentic solutions in production.
• Ensure safety, explainability, and reliability of agentic AI systems.
• Stay current with advancements in autonomous AI, cognitive architectures, and agent frameworks (e.g., LangGraph, AutoGPT, CrewAI).
• Write clean, testable, and efficient code with appropriate documentation and design patterns.

Required Qualifications:

• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, or related field.
• Strong programming skills in Python (or similar), and experience with AI/ML frameworks such as PyTorch or TensorFlow.
• Experience with one or more of: LangChain, LangGraph, AutoGPT, ReAct, or similar agentic architectures.
• Solid understanding of LLMs, prompt engineering, and tool integration (APIs, plugins, retrieval-augmented generation).
• Familiarity with planning algorithms, reinforcement learning, or symbolic reasoning.
• Experience deploying scalable AI systems in cloud environments (AWS, GCP, or Azure)

Preferred Qualifications:

• Experience building agents for domains like software development, operations, finance, or customer support.
• Familiarity with graph-based memory systems or vector stores (e.g., FAISS, Weaviate, Chroma).
• Knowledge of cognitive architectures or hybrid (neuro-symbolic) approaches.
• Open-source contributions or publications in the field of AI/agents.