Data and AI Engineer

Software & Data/AI Engineer – You will analyze both structured and unstructured datasets, identify commonalities, organize them into a uniform structure, and perform entity resolution. This requires deep understanding of Python development and handling diverse data types. Leverage your strong AI experience with large language models and GenAI to implement a Chatbot‑style interface for stakeholders. Design, architect, and prototype complex AI‑based systems essential for the organization’s data management strategy.

Your technical toolkit includes proficiency in vector databases and SQL, and a solid grasp of user interface implementation using frameworks such as React or Angular. You must be familiar with AWS cloud architecture for deploying AI models that process a wide array of structured and unstructured data formats. Clean data for ingestion and analysis to prime it for optimal AI model performance.

Examine data holdings and use cases critically to determine the best approach for grooming data for the AI systems you develop.

To excel, bring experience in AI model optimization, integrating large language model chatbots to enhance data interaction capabilities. Navigating and implementing vector databases will be essential. Seamlessly integrate AI models that manage diverse data formats. An innovative approach to AI‑based architecture will streamline data processes and set new standards for data management.

• Python development
• Handling structured and unstructured data
• Entity resolution
• Strong AI experience with large language models and GenAI
• Experience with vector databases
• SQL
• User interface implementation using Java script, React, Angular or similar framework
• Experience integrating APIs
• AWS cloud architecture
• AI model optimization
• Ability to examine data holdings and use cases to determine best approach for grooming data

• Field‑specific skills or certifications related to AI, data analysis, or software engineering

M1 Technology is an equal opportunity employer and values diversity. We do not discriminate in hiring on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology
• IT Services and IT Consulting