Full Stack AI Engineer (India-based)
Summary
Frazier & Deeter, an accounting and advisory firm, is hiring a hands-on Full Stack AI Engineer in India to design, build, and operate secure, enterprise-scale applications with AI/LLM capabilities baked in. Day to day: building front-ends, APIs, backend services, and data pipelines primarily in Python, and deploying them on AWS, Azure, or on-premises with CI/CD, security, and observability.
About Frazier & Deeter
Frazier & 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 - remote
What they ask for
Required
- Strong experience delivering full stack applications in production environments
- Advanced Python development skills
- 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
- Experience with TypeScript, Java, C#, Go, or another modern language
- 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
Skills
As published by greenhouse · 19 questions · 1 written answer
Basics
First Name, Last Name, Email, Phone, Resume/CV, Location
Short answers (2)
- What is your annual current fixed salary?
- What are your annual fixed salary expectations?
Pick from a list (16)
- What is your current notice period?
- How many years of relevant experience in AI Development?
- Do you have hands-on experience building AI solutions in production?
- Which AI platforms have you used in production?
- Have you implemented a RAG (Retrieval Augmented Generation) solution?
- Which vector database/search platform have you used?
- Do you have experience with OCR or Document Intelligence solutions?
- Which technologies have you used for AI application development?
- Have you developed AI Agents or Copilots?
- Which Agent/AI platforms have you used?
- Do you have hands-on experience with Azure AI Foundry?
- Have you worked with MongoDB or Azure Cosmos DB?
- Do you have experience deploying applications on Azure?
- Do you have experience with CI/CD pipelines and Git-based development?
- Are you comfortable working across the full stack (Frontend + Backend + AI + Cloud)?
- Do you have experience deploying applications on Azure?
Written answers (1)
- What other AI, Cloud, or Development tools have you worked with?

