Senior AI Engineer for Enterprise Systems (Hybrid)

Willsfly Technologies Inc; Virginia (MN); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Performance bonus

Learning budget

Flexible work culture

Job summary

Willsfly Technologies Inc in Virginia (hybrid) seeks an AI Engineer to contribute to enterprise-scale software and product systems, working across architecture, engineering, delivery, and operations to ensure durable outcomes.

You will build and improve enterprise AI systems, integrate LLMs, collaborate with product and platform teams, and promote secure, observable AI practices while benefiting from a learning budget and flexible culture.

Qualifications

• 5+ years of experience in backend or AI engineering within enterprise environments.
• Strong knowledge of APIs, data flow, and scalable service integration.
• Hands-on exposure to LLM integration, prompt engineering, or retrieval-based systems.
• Ability to work in structured enterprise engineering environments.

Responsibilities

• Build and improve enterprise AI systems across retrieval, prompt orchestration, and workflow integration.
• Support model integration into scalable product environments with strong API and system discipline.
• Collaborate with product and platform teams to improve quality, usefulness, and maintainability.
• Contribute to secure, observable, and production-aware AI engineering practices.
• Help shape intelligent features that remain practical in enterprise software environments.

Skills

Backend engineering

AI engineering

APIs

Data flow

LLM integration

Education

Bachelor’s degree in CS/AI/Data Science or Software Engineering

Job description

Willsfly Technologies Inc in Virginia (hybrid) seeks an AI Engineer to contribute to enterprise-scale software and product systems, working across architecture, engineering, delivery, and operations to ensure durable outcomes.

You will build and improve enterprise AI systems, integrate LLMs, collaborate with product and platform teams, and promote secure, observable AI practices while benefiting from a learning budget and flexible culture.