AI Systems Engineer

The AI Systems Engineer is responsible for designing, building, and delivering practical artificial intelligence and machine learning solutions that support internal research, development, and business applications.

This position combines hands-on software development, deep learning, and systems architecture to translate customer needs and emerging ideas into clear technical requirements, reliable solution designs, and working products. The role will support the development and deployment of advanced AI capabilities, including agentic AI systems operating in secure, air-gapped, on-premises, and edge environments.

The ideal candidate is a curious, self-directed technical builder who takes initiative, enjoys solving complex problems, and can independently drive work from concept through implementation. This individual will own key technical efforts, mentor junior engineers, collaborate with technology leaders, and help strengthen the organization’s broader AI capabilities.

Key Responsibilities

• Design, develop, test, and deploy AI-enabled applications and solutions.
• Create and implement AI systems that leverage LLMs, autonomous workflows, tool integration, and agentic solutions.
• Develop AI-driven automation solutions to improve operational efficiency and decision-making.
• Build and integrate AI agents using commercial and open-source AI platforms and frameworks.
• Collaborate with engineers, data scientists, developers, and business stakeholders to identify AI use cases and deliver effective solutions.
• Evaluate emerging AI technologies and recommend innovative approaches to customer challenges.
• Develop technical documentation, demonstrations, prototypes, and proof-of-concept solutions.
• Support customer engagements, technical presentations, and solution demonstrations.