AI Agent Engineer - Full Remote

Hubstaff blog; Ashburn (VA); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading tech company is seeking an AI Agent Engineer to create intelligent autonomous agents. This role involves designing and deploying agents using advanced technologies, collaborating with teams, and staying updated on the latest agent frameworks. You will be responsible for building systems capable of reasoning and interacting within digital or physical environments, requiring strong expertise in machine learning and software engineering.

Qualifications

• Proficiency in Python with strong software engineering principles.
• Experience with AI/ML libraries like PyTorch and TensorFlow.
• Familiarity with agent frameworks like LangChain.

Responsibilities

• Design, implement, and deploy autonomous agents.
• Integrate external tools and APIs with agents.
• Monitor and improve agent performance.

Skills

Proficiency in Python

Knowledge of AI/ML libraries

Understanding of APIs

Familiarity with NLP

Experience with automation tools

Job description

AI Agent Engineer - Full Remote full time

We are seeking an AI Agent Engineer to design, build, and deploy intelligent autonomous agents capable of reasoning, learning, and interacting with digital or physical environments. You will work at the intersection of machine learning, software engineering, and systems integration to create agents that can perform tasks ranging from automation to decision-making and real-world interaction.

• Design, implement, and deploy autonomous agents using LLMs, reinforcement learning, or rule-based logic.
• Integrate external tools, APIs, web interfaces, and databases with the agent's capabilities.
• Develop and fine-tune machine learning models where needed (e.g., NLP, vision).
• Collaborate with product and engineering teams to scope use cases for agent deployment.
• Monitor, test, and improve agent performance over time.
• Stay up to date with advances in agent frameworks (LangChain, Auto-GPT, CrewAI, etc.)

Must-Have:

• Proficiency in Python, with strong knowledge of software engineering principles.
• Experience with AI/ML libraries: PyTorch, TensorFlow, Transformers, etc.
• Familiarity with agent frameworks like LangChain, Autogen, or similar.
• Understanding of APIs, automation tools (Selenium, Puppeteer), and orchestration workflows.
• Familiarity with NLP, LLMs (e.g., GPT-4), or reinforcement learning.

Nice-to-Have:

• Knowledge of robotics (ROS), game engines, or embedded systems.
• Experience deploying agents in production (cloud, Docker, Kubernetes).
• Prompt engineering or few-shot/fine-tuning LLMs.