Systems Engineer

• Architect AI-driven systems that integrate models, APIs, and data into complete, scalable solutions
• Build context strategies that ground AI outputs in business rules, client data, and historical context
• Design and implement workflow-driven AI solutions that enhance efficiency, automation, and decision support
• Write, refine, and optimize main prompts and supporting prompts (role instructions, guardrails, formatting rules)
• Develop, deploy, and maintain AI/ML models on platforms such as OpenAI, ML.NET, TensorFlow, or Azure Cognitive Services
• Integrate AI features into applications via RESTful APIs and asynchronous workflows
• Develop and maintain scalable web applications using C#/.NET (backend) and Angular (frontend)
• Collaborate with Product, QA, DevOps, and UX teams; contribute to planning, code reviews, and documentation
• Stay up to date with emerging AI/ML practices and improve products and workflows
• Perform other related duties as assigned by management

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