Senior Generative AI Engineer

AI Engineer Senior Consultant

Job Title: Senior GenAI Engineer

Experience: 7+ Years

Role Overview

We are seeking a highly skilled Senior GenAI Engineer to design, develop, and deploy cutting-edge Generative AI solutions. The ideal candidate will have strong expertise in backend development, data engineering, and AI solution delivery, with hands-on experience in building scalable, production-grade systems leveraging LLMs and RAG-based architectures.

Key Responsibilities

• Design and develop Generative AI-powered applications, including RAG-based solutions and agentic workflows.
• Build, deploy, and maintain Python-based microservices and APIs (preferably using FastAPI).
• Develop and optimize data models to support analytics and AI use cases.
• Implement data quality checks, validation frameworks, and monitoring mechanisms.
• Contribute to CI/CD pipelines, DevOps practices, and release management processes.
• Work with containerization technologies such as Docker and Kubernetes for scalable deployments.
• Monitor and support production systems, including performance tuning and continuous improvements.
• Collaborate with cross-functional teams to align technical solutions with business requirements.

Required Skills & Qualifications

• 7+ years of experience in data engineering, backend development, or AI solution delivery.
• 5+ years of strong programming expertise in Python.
• 3 to 5 years of hands-on experience with LLMs and RAG-based solutions.
• Experience working with cloud platforms such as AWS or Azure.
• Proficiency in Git-based workflows, CI/CD, and unit testing.
• Strong problem-solving and analytical skills.
• Experience with microservices architecture and API development.

Preferred Qualifications

• Familiarity with Databricks, Snowflake, or Delta Lake.
• Experience with agentic AI frameworks and orchestration tools.
• Exposure to MLOps practices and scalable AI deployments.

Experience Level

Senior Level