Job Description & How to Apply Below
About Company
Cryscol Solutions is a technology company focused on digital transformation, business process automation, and custom software development. We help businesses improve efficiency and accelerate growth through scalable, secure, and innovative technology solutions.
About Nav Forms
Nav Forms is an AI-powered, low-code form and workflow automation platform developed by Cryscol Solutions. It helps businesses digitize forms, automate workflows, manage data, and streamline business processes. As part of this role, you will be supporting development of Nav Forms platform and assisting them with their queries and requirements.
Role Description
This is a full-time remote role for an AI Data Engineer (MySQL PostgreSQL Vector DB) at Cryscol Solutions. The AI Data Engineer will design, implement, and maintain data pipelines that support AI and analytics workloads, with a focus on MySQL and vector databases. Daily responsibilities include building and optimizing ETL processes, modeling data for both transactional and analytical use cases, and configuring vector search capabilities to support AI-driven features.
The role involves collaborating with data scientists, ML engineers, and application developers to ensure data architectures are scalable, reliable, and secure. The AI Data Engineer will also monitor data quality, troubleshoot performance issues, and contribute to best practices, documentation, and automation of data workflows.
Qualifications
Strong data engineering skills, including experience with Data Engineering workflows and Data Warehousing concepts.
Proficiency in Data Modeling and designing schemas optimized for both MySQL and vector databases.
Ability to perform Data Analytics to validate datasets, support AI experiments, and inform data architecture decisions.
Practical experience with Database (schema design, indexing, performance tuning, query optimization).
Experience with vector databases (e.g., Pinecone, Weaviate, Qdrant, Milvus, or similar) and integrating them into AI or retrieval-augmented applications.
Proficiency in at least one programming language commonly used for data engineering (such as Python) and experience with SQL at an advanced level.
Hands-on experience with Linux/Ubuntu environments and Linux command-line operations, including file management, process management, permissions, networking, system monitoring, and basic shell scripting.
Familiarity with cloud platforms (such as AWS, Azure, or GCP) and modern data stack tools (e.g., orchestration frameworks, DBT, or similar) is preferred.
Understanding of data security, governance, and best practices for handling sensitive and large-scale datasets.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
Strong problem-solving, communication, and collaboration skills, with the ability to work effectively in a fully remote, distributed team.
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