Senior AI Agent Engineer — Deploy & Optimize

United States Digital Space LLC; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

United States Digital Space LLC is seeking an AI Agent Engineer to lead the deployment of state-of-the-art AI agents for real-world client challenges. You will work with customers, software engineers, and ML teams to deliver high-impact deployments and ongoing platform improvements.

The role requires strong programming skills (Python/Golang), hands-on AI/ML experience, and cloud/DevOps familiarity. You will engage in design, security, and scalability planning to drive customer ROI.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of full-time software development, AI/ML, or systems integration experience.
• Proficiency in Python and Golang with clean coding practices.
• Hands-on experience with large language models and prompt engineering.
• Experience with cloud platforms (AWS, GCP, Azure) and DevOps practices.
• Strong API integration and data pipeline skills.

Responsibilities

• Develop, configure, deploy, and optimize AI agents using the company’s platform.
• Integrate AI agents with external systems (APIs, CRMs, databases).
• Fine-tune prompts, configurations, and troubleshoot in enterprise environments.
• Collaborate with customers to translate requirements into AI solutions.
• Lead demos and proofs-of-concept to showcase value and gather feedback.
• Define project milestones and coordinate execution across teams.

Skills

Python

Golang

Cloud platforms

API integration

DevOps

Data-driven decisions

Cross-functional collaboration

LLM familiarity

Prompt engineering

Education

Bachelor’s or Master’s in CS/Engineering

Tools

LLM Frameworks

CI/CD tools

Job description

United States Digital Space LLC is seeking an AI Agent Engineer to lead the deployment of state-of-the-art AI agents for real-world client challenges. You will work with customers, software engineers, and ML teams to deliver high-impact deployments and ongoing platform improvements.

The role requires strong programming skills (Python/Golang), hands-on AI/ML experience, and cloud/DevOps familiarity. You will engage in design, security, and scalability planning to drive customer ROI.