AI & Data Integration Engineer
First seen by Alion on Sep 9, 2026.
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.
Skills
Data Integration, Data Pipeline, Artificial Intelligence, LLM, SQL, Snowflake DB, Data Infrastructure, Data Management, Data Services, Data Modeling