Full Stack AI Engineer (India-based)

About Frazier & DeeterFrazier & Deeter (FD) is an award-winning accounting & advisory firm. FD and our family of brands serve clients worldwide, from the Fortune Global 500 companies to growing small businesses. Frazier & Deeter cultivates a growth mindset and instils in our people the belief that we must be adaptive and entrepreneurial, and we make a difference for our clients and each other. We focus on our brand promise of Investing in Relationships to Make a Difference.FD offers a full range of tax, assurance, accounting, and advisory services through our offices across the United States, in addition to London and India. We have been recognized repeatedly as a Top 50 firm, a Best of the Best Accounting firm, a Best Firm to Work For® and a Best Firm for Women in Leadership.FD recently opened its own entity in India to support our expanding international and cross-border client base. We are not your typical firm of accountants and we like doing things differently. Our team members have the opportunity to be involved in global consulting and advisory client facing roles in a fast growing and exciting new business in India, which is part of our established and highly regarded accountancy firms in the US and UK.About the Role We are seeking a hands-on Full Stack AI Engineer to design, build, and operate secure, scalable applications that use AI as a core capability. This role combines strong software engineering fundamentals with practical experience integrating AI services, large language models, intelligent workflows, and modern cloud architectures into production systems.The ideal candidate can own solutions across the application lifecycle, from architecture and development through deployment, monitoring, security, and support. Solutions may run in AWS, Azure, or on-premises environments and must be designed for enterprise-scale adoption.Responsibilities Design and build full stack applications with AI embedded as a core product capability Develop front-end applications, APIs, backend services, and data-processing pipelines Build primarily in Python while using other modern languages and frameworks when appropriate Integrate AI, machine learning, and large language model services into production applications Design secure, resilient architectures that scale to support enterprise workloads Deploy and operate solutions across AWS, Azure, and hybrid or on-premises environments Implement authentication, authorization, encryption, logging, monitoring, and SOC-aligned controls Build automated testing, CI/CD, and observability into solutions Collaborate with business, technology, security, and operations teams to deliver production-ready applications Required Qualifications Strong experience delivering full stack applications in production environments Advanced Python development skills; experience with TypeScript, Java, C#, Go, or another modern language is beneficial Experience building APIs, backend services, modern web applications, and data integrations Hands-on experience integrating AI, machine learning, or large language models into applications Experience developing cloud-native applications in AWS and/or Azure Strong understanding of application architecture, scalability, performance, reliability, and security Experience with relational or non-relational databases, automated testing, DevOps practices, and CI/CD Preferred Qualifications Experience with Azure AI Foundry, Azure OpenAI, Amazon Bedrock, Anthropic Claude, or similar platforms Experience with React, Angular, Vue, or another modern front-end framework Experience with Docker, Kubernetes, and Infrastructure as Code tools such as Terraform, Bicep, or CloudFormation Experience with AI evaluation, monitoring, governance, and human review patterns Experience integrating cloud applications with enterprise or on-premises systems Exposure to accounting, audit, tax, advisory, regulated, or other professional-services workflows What Success Looks Like Delivers secure, scalable, maintainable applications that solve meaningful business problems Incorporates AI into production systems with measurable quality and business value Builds reusable components and patterns that accelerate future development Maintains high standards for reliability, security, observability, and performance What FD offers Competitive salary Clear career growth path within the firm Personal and professional skills development and training support #LI - remoteOriginally posted on Himalayas