Backend/Data Engineer

About Us:
We are a fast-paced startup building the best AI Copilot for marketing teams. Our mission is to transform the marketing industry with AI-driven solutions that empower teams to work smarter, faster, and more effectively.

Team:
Aliveo AI is led by an expert team with deep experience in AI and machine learning. Joining us offers a rare opportunity to work alongside a top-tier team, contributing directly to cutting-edge AI products.

Job Description:

We are looking for a Backend/Data Engineer with strong expertise in Python, Flask, and data engineering to help us build and manage scalable data pipelines and systems that power our AI-driven marketing solutions. A critical aspect of the role will be working with data and integrating Large Language Models (LLMs), in addition to managing data from APIs such as Google Ads, Salesforce, HubSpot, Facebook, and others.

You will be responsible for designing and maintaining data pipelines, integrating new data sources, and helping deploy AI models, including LLMs, to optimize our product’s performance.

Key Responsibilities:

• Data Pipelines: Design, develop, and maintain robust data pipelines for collecting, transforming, and loading data from third-party APIs and internal sources.
• API Integration: Work with a range of APIs (e.g., Google Ads, Salesforce, HubSpot, Facebook) to pull in large volumes of data, ensuring seamless data flows into our systems.
• LLM Integration: Collaborate with team members to integrate and iterate on our Large Language Models (LLMs) data product.
• Backend Development: Build and maintain backend systems using Flask and PostgreSQL, ensuring scalability and performance for data-heavy applications.
• AWS Management: Implement and manage AWS services (EC2, S3, Lambda, RDS) for data processing and model deployment, optimizing cloud infrastructure for performance.
• Data Management: Organize and manage large datasets, optimizing them for real-time processing and analysis by data science and machine learning teams.
• Optimization: Troubleshoot, debug, and optimize backend systems, pipelines, and LLM integrations to ensure high performance and reliability.
• Collaboration: Work closely with cross-functional teams, including data scientists, machine learning engineers, and product teams to deliver data-driven features and improvements.
• Code Quality: Write clean, maintainable Python code, following best practices for both backend engineering and data pipeline development.

Qualifications:

• Proven experience as a Backend Engineer or Data Engineer with a strong focus on data pipelines and API integration is good.
• Extensive experience with Python and Flask for backend development.
• Strong expertise in building and maintaining data pipelines for large-scale data ingestion, transformation, and processing.
• Hands-on experience working with third-party APIs, especially in the marketing domain (Google Ads, Salesforce, HubSpot, Facebook, etc.) is a very strong plus
• Familiarity with integrating Large Language Models (LLMs) and other AI/ML models into production systems.
• Proficiency with AWS services (EC2, S3, Lambda, RDS) for deploying and managing cloud infrastructure.
• Strong knowledge of PostgreSQL or other SQL-based databases for managing and querying large datasets.
• Experience with pandas or similar libraries for data manipulation and analysis.
• Excellent problem-solving skills, with an emphasis on troubleshooting complex data pipeline and LLM-related issues.
• Strong communication skills and the ability to collaborate effectively in a remote team environment.
• Self-motivated, takes ownership, and demonstrates a strong work ethic. We move fast and expect you to do as well.