AI Full Stack Engineer

We are seeking an experienced AI Full Stack Engineer to design, develop, and maintain end-to-end AI-powered applications across frontend, backend, and AI/ML layers. The role involves building LLM-enabled solutions, developing APIs, and creating responsive UIs for AI-powered assistants.

• Design develop and maintain end-to-end AI powered applications across frontend backend and AIML layers
• Build and operate LLM enabled solutions using prompting RAG tool function calling evaluation frameworks and guardrails
• Develop APIs and microservices for integrating AI models with enterprise platforms and data sources
• Create and manage data pipelines for data ingestion transformation indexing and retrieval
• Build responsive user interfaces for AI powered assistants chat applications dashboards and workflow solutions
• Implement MLOps and LLMOps practices including CICD model lifecycle management monitoring and quality validation
• Develop testing strategies covering unit testing integration testing performance testing and AI evaluation
• Optimize AI applications for performance scalability cost efficiency reliability and observability
• Ensure security privacy compliance and governance requirements are integrated into solution design
• Collaborate with product UX data engineering and risk teams to deliver business outcomes
• Develop reusable AI components best practices and platform accelerators

• Strong Full Stack software engineering experience
• Expertise in Python Java or Nodejs development
• Experience building RESTful APIs GraphQL services and Microservices architectures
• Strong frontend development skills using React and TypeScript
• Hands on experience with Large Language Models LLMs Embeddings and Retrieval Augmented Generation RAG
• Experience with vector databases search platforms document stores or graph databases
• Strong SQL and data engineering skills
• Experience with Docker Kubernetes and cloud platforms such as AWS Azure or GCP
• Knowledge of CICD Infrastructure as Code and DevOps practices
• Experience with monitoring logging and observability solutions
• Understanding of secure coding practices OWASP principles authentication and authorization
• Strong problem-solving collaboration and stakeholder management skills
• Experience with Agentic AI orchestration frameworks and tool integrations is desirable
• Knowledge of Responsible AI model governance and explainability concepts is a plus
• Experience working in regulated enterprise environments is preferred