Senior AI Software Engineer

Responsibilities

• Design, build, and optimize end-to-end production-grade GenAI applications and scalable enterprise solutions.
• Develop secure and maintainable APIs using Python and Node.js frameworks like FastAPI and Fastify.
• Create dynamic AI-driven web experiences using TypeScript, React, and Next.js.
• Build and operate Retrieval Augmented Generation (RAG) pipelines using vector databases such as Chroma, Milvus, or Pinecone.
• Deploy and manage containerized applications using Docker and Kubernetes within Microsoft Azure environments.
• Implement and maintain CI/CD pipelines to ensure automated testing and high-quality software delivery.
• Collaborate with cross-functional teams including product, architecture, security, and cloud platform specialists.

Requirements

• 5+ years of professional experience delivering enterprise-grade software solutions.
• Expertise in Python and Node.js for backend development.
• Strong frontend engineering skills with TypeScript, React, and Next.js.
• Hands-on experience with Microsoft Azure (AKS, Container Apps, Container Registry).
• Proficiency with Docker, Kubernetes, and CI/CD tools (Jenkins, GitHub Actions, or Azure DevOps).
• Experience with relational databases including MS SQL Server and PostgreSQL.
• Practical knowledge of LLM orchestration frameworks like LangChain or Semantic Kernel.
• Experience working with Azure OpenAI or similar enterprise AI services.
• Proven ability to build and operate RAG pipelines and work with vector databases.

Preferred Qualifications

• Exposure to MLOps, including model lifecycle management and observability.
• Experience with event-driven or distributed architectures and message queues.
• Knowledge of observability tools such as Azure Monitor, Prometheus, or Grafana.
• Familiarity with Infrastructure-as-Code (IaC) tools like Terraform or Bicep.
• Experience working in regulated or compliance-driven industries like financial services.

Benefits

• Competitive compensation package and performance-based rewards.
• Continuous learning and world-class professional development opportunities.
• Flexible work arrangements.
• Access to coaching, mentorship, and transformative leadership experiences.

About the Company

EY is a global leader in professional services, dedicated to building a better working world. Our Data & AI team within the AI Hub empowers clients to overcome complex financial and accounting challenges through innovative, cutting-edge technology solutions.