AIML Data Engineer SQL, Databricks, Snowflake

Job Summary
We are looking for an experienced AI Data Application Engineer to build and deploy AI-driven solutions that solve real business problems. This role bridges AI/ML capabilities with production-ready systems and works closely with product data science and platform teams.

Key Responsibilities

Build AI-powered applications using machine learning and generative AI

• Integrate ML models LLMs and AI services into applications
• Develop APIs and microservices for AI solutions
• Work with data scientists to deploy models into production
• Implement prompt engineering and inference pipelines
• Ensure performance scalability security and reliability
• Support real-time and batch AI use cases
• Set up monitoring for application and AI behavior
• Manage model versioning A/B testing and rollback
• Ensure data privacy and responsible AI compliance
• Contribute to architecture and best practices
• Troubleshoot production issues
• Mentor junior team members

Required Skills & Qualifications

Application Development

5 6 years of software development experience

• Strong skills in Python or JavaScript/TypeScript
• Experience with FastAPI Flask Django or
• Good understanding of APIs microservices and system design
• Frontend experience (React Angular Vue) is a plus

AI & Machine Learning

Experience integrating ML and AI services into applications

• Understanding of ML lifecycle and inference
• Experience with LLMs (OpenAI Azure OpenAI AWS Bedrock Hugging Face)
• Knowledge of prompt engineering and RAG
• Familiarity with embeddings and vector search

Data & Backend

Strong SQL and database experience (relational and NoSQL)

• Experience with Snowflake and Databricks platforms
• Experience with data pipelines and analytics systems
• Knowledge of APIs caching and messaging systems (Kafka RabbitMQ)

Cloud & DevOps

Experience with AWS Azure or GCP

• Hands-on with Docker and Kubernetes
• Familiarity with CI/CD pipelines
• Exposure to cloud-native AI services is a plus