Agentic AI Engineer

Behavox; McLean (VA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation with 100% bonus pay

Great health coverage

Generous time-off policy

Flexible work schedule

Job summary

A leading AI technology company in McLean, Virginia, is looking for an Agentic AI Engineer to design and deploy intelligent automation solutions. You will work on building LLM-powered applications, driving innovative AI projects, and collaborating with researchers to enhance productivity. The role offers competitive compensation, a flexible work schedule, and potential for significant impact.

Qualifications

• Experience in production-grade AI/LLM applications.
• Familiarity with deployment on cloud platforms.
• Mastery of LLM concepts such as retrieval augmented generation.
• Fluency in Python programming and familiarity with ML libraries or frameworks (e.g., PyTorch, TensorFlow).
• Experience deploying and running applications on cloud platforms (AWS/GCP).

Responsibilities

• Design and deploy autonomous AI agents.
• Drive AI projects and apply innovative ideas.
• Optimize reliability and performance of AI agents.
• Optimize and ensure the reliability of AI agents, using engineering tools to improve performance.
• Provide technical leadership and collaborate effectively with team members.

Skills

AI/LLM application development

Python programming

Machine Learning libraries

Prompt chaining

Memory management

Tools

AWS

GCP

PyTorch

TensorFlow

Job description

Python Agentic AI LLM AI Engineering Cloud Deployment

The Agentic AI Engineering team at Behavox is seeking a talented Agentic AI Engineer to build the next generation of intelligent automation. You will design, develop, and deploy AI agents powered by large language models (LLMs) to boost productivity across the company. This role involves designing agentic architectures, orchestrating LLMs with external tools and APIs, and deploying robust, scalable AI systems. You will collaborate with AI researchers and MLOps to bring innovative agent solutions from prototype to production.

Responsibilities

• Design and deploy autonomous AI agents to perform complex tasks.
• Innovate and drive AI projects, originating ideas for applying AI agents to real problems.
• Apply the latest research to improve AI agent systems.
• Optimize and ensure the reliability of AI agents, using engineering tools to improve performance.
• Provide technical leadership and collaborate effectively with team members.

Requirements

• A deep and genuine interest in Behavox and its mission.
• Extensive experience in production AI/LLM application development, including building production‑grade LLM‑powered applications or agents.
• Mastery of LLM and agentic concepts such as retrieval augmented generation (RAG), prompt chaining/Chain‑of‑Thought reasoning, memory usage in AI agents, and tool usage by agents.
• Fluency in Python programming and familiarity with ML libraries or frameworks (e.g., PyTorch, TensorFlow).
• Experience deploying and running applications on cloud platforms (AWS/GCP).

Nice-to-have

• Technical leadership and mentoring skills.

Benefits

• Global mission with a passionate community.
• Huge impact and learning potential.
• Competitive compensation with 100% bonus pay integrated.
• Great health coverage for employee and family.
• Generous time‑off policy and flexible work schedule.

How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.

Appian Communications Inc McLean, Virginia