Role Overview :

As an AI & Data Integration Engineer, you will be responsible for architecting and maintaining the data pipelines and AI workflows that power our client's core business applications. You will collaborate closely with cross-functional engineering teams to bridge the gap between raw data infrastructure and advanced LLM-based applications. Your work will directly influence the efficiency of automated document generation and data processing systems, ensuring that our technical solutions are robust, scalable, and aligned with enterprise-grade performance standards.

Key Responsibilities :

- Design and implement end-to-end data integration workflows to ensure seamless data flow between disparate enterprise systems and Snowflake environments.

- Develop and optimize LLM-driven applications to automate document processing and complex data extraction tasks for improved operational efficiency.

- Build and maintain automated CI/CD pipelines using GitLab to ensure rapid, reliable, and error-free deployment of data and AI models.

- Manage and refine HotDocs templates and integration logic to support high-volume document automation requirements for global stakeholders.

- Execute complex SQL queries and performance tuning to optimize data retrieval processes and support real-time analytics.

- Collaborate with DevOps teams to monitor system performance, troubleshoot integration bottlenecks, and maintain high availability of production environments.

Required Skillset :

- Demonstrated expertise in managing large-scale data integration projects using Snowflake and advanced SQL for complex data modeling.

- Proven ability to integrate LLMs into production workflows, with a strong understanding of prompt engineering and model deployment.

- Proficiency in DevOps practices, specifically in configuring and managing CI/CD pipelines within GitLab to streamline software delivery.

- Hands-on experience with HotDocs for document automation and the ability to integrate these templates with backend data sources.

- Strong analytical and problem-solving capabilities, with the ability to communicate technical constraints and solutions to non-technical stakeholders.

- Ability to work effectively in a hybrid environment in Pune, maintaining high standards of code quality and documentation.

- Candidates should possess 6 - 8 years of relevant experience in data engineering or AI development roles.