Note: The job is a remote job and is open to candidates in USA. Anagh Technologies Inc is a technical consulting firm specializing in web technologies, and they are seeking a Senior AI/ML Engineer to design, develop, and deploy AI/ML solutions for modernizing pharmacy platforms. The role involves collaborating with various stakeholders to create scalable and reliable AI applications that enhance operational efficiency and decision-making processes.

Responsibilities

• Design, develop, and deploy AI/ML solutions to modernize core pharmacy platforms, with a focus on scalability, reliability, performance, and security
• Leverage Generative AI, LLMs, and agentic AI frameworks to automate and enhance pharmacy workflows and decision-making processes
• Collaborate with business and technical stakeholders to understand pharmacy domain requirements and translate them into robust AI/ML-driven technical solutions
• Contribute to architecture and technical design of AI/ML pipelines, including model selection, data integration, and deployment patterns
• Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes
• Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML engineering practices
• Partner with cross-functional teams including data scientists, product managers, platform engineers, and pharmacy domain experts
• Translate legacy system modernization needs into scalable AI applications that enhance products, workflows, and operational efficiency
• Monitor and optimize AI/ML model performance, resource utilization, and platform reliability
• Collaborate with DevOps and infrastructure teams to ensure secure, scalable deployment and operations of AI/ML solutions
• Stay current with advancements in AI/ML frameworks, Generative AI, LLMs, and pharmacy technology modernization

Skills

• Experience in designing, developing, and deploying AI/ML solutions
• Ability to work on scalability, reliability, performance, and security of AI/ML solutions
• Experience with Generative AI, LLMs, and agentic AI frameworks
• Collaboration with business and technical stakeholders to understand requirements
• Experience in architecture and technical design of AI/ML pipelines
• Knowledge of model selection, data integration, and deployment patterns
• Establishing and maintaining AI/ML engineering standards and best practices
• Conducting code reviews and mentoring engineers
• Partnering with cross-functional teams including data scientists and product managers
• Translating legacy system modernization needs into scalable AI applications
• Monitoring and optimizing AI/ML model performance and platform reliability
• Collaboration with DevOps and infrastructure teams for deployment and operations
• Staying current with advancements in AI/ML frameworks and pharmacy technology

Company Overview