AI Developer

Wise Equation Solutions Inc.; City of Syracuse (NY); Sur place; USD 110 000 - 170 000; Plein temps

Résumé du poste

Wise Equation Solutions Inc. in Syracuse, NY, seeks an AI software engineer to design, develop, and deploy AI-driven engineering solutions using LangGraph and related frameworks.

You will integrate AI into internal tools and deploy on AWS, with emphasis on scalability, security, and cost optimization. You will implement containerization, orchestration, and serverless architectures; apply LLMOps for end-to-end lifecycle management of LLMs, CI/CD, monitoring, and governance; and develop testing

Responsabilités

• Design, develop, and deploy AI-driven solutions for engineering applications using frameworks such as LangGraph or similar.
• Integrate AI capabilities into internal engineering tools to enhance productivity and automation.
• Deploy and manage AI solutions on AWS, ensuring scalability, security, and cost optimization.
• Implement containerization, orchestration, and serverless architectures for AI workloads.
• Apply LLMOps best practices for lifecycle management of large language models, including CI/CD pipelines, monitoring, and governance.
• Develop and execute testing strategies for AI applications to ensure reliability, accuracy, and compliance.
• Collaborate with engineering teams to design MCP-based integrations for internal tools.
• Enable agent-driven workflows that streamline engineering processes across software, hardware, and mechanical domains.
• Assess and recommend commercial AI tools for engineering use cases.
• Stay informed about latest AI trends, frameworks, and technologies to guide strategic adoption.
• Work closely with multidisciplinary teams in a global environment.
• Produce clear technical documentation and contribute to knowledge-sharing initiatives.

Description du poste

Responsibilities

• Design, develop, and deploy AI-driven solutions for engineering applications using frameworks such as LangGraph or similar.
• Integrate AI capabilities into internal engineering tools to enhance productivity and automation.
• Deploy and manage AI solutions on AWS, ensuring scalability, security, and cost optimization.
• Implement containerization, orchestration, and serverless architectures for AI workloads.
• Apply LLMOps best practices for lifecycle management of large language models, including CI/CD pipelines, monitoring, and governance.
• Develop and execute testing strategies for AI applications to ensure reliability, accuracy, and compliance.
• Collaborate with engineering teams to design MCP-based integrations for internal tools.
• Enable agent-driven workflows that streamline engineering processes across software, hardware, and mechanical domains.

Technology Evaluation & Innovation

• Assess and recommend commercial AI tools for engineering use cases.
• Stay informed about latest AI trends, frameworks, and technologies to guide strategic adoption.
• Work closely with multidisciplinary teams in a global environment.
• Produce clear technical documentation and contribute to knowledge-sharing initiatives.