Remote AI Data Engineer for Enterprise AI

AuraChat.Ai | The award-winning AI Platform for Competitive Intelligence & Sales Automation

AuraChat.Ai is the award-winning Competitive Intelligence and Sales Automation platform for Enterprises. Our clients use our AI platform to monitor their competitors in real time (250+ data points tracked) and our AI Agents deliver human-quality interactions via voice, video, and text, in 50+ languages across all major communication channels.

Recent Achievements:

Named “Global Top 50 AI Projects” by the AI Action Summit in Paris (Feb/2025)

Named “Top 10 Startups” by UCLA/MBA + Google Venture Accelerator (Oct/2024)

Launched groundbreaking social impact projects, including \"OlimpIA\" the 24/7 Victim Support Line for the Ley Olimpia - supporting victims of gender-based violence.

Serving multi-million dollar brands while maintaining our commitment to ethical AI practices.

We’re a fast-growing startup backed by renowned entrepreneurs and investors. Join us in building the future of enterprise AI while making a meaningful impact on society.

THE ROLE

We’re looking for an innately curious and passionate AI Data Engineer to join our Dev Team. This role will be involved with the design and development of the data infrastructure that powers our enterprise AI agent ecosystems. You’ll be at the intersection of cutting-edge AI technology and real-world business applications, creating scalable data solutions that enable human-quality AI interactions for thousands of users daily.

This is a unique opportunity to shape the data architecture of a rapidly scaling AI platform while working on projects that truly have an impact on the world.

KEY RESPONSIBILITIES

Design conversation capture systems handling voice, SMS, WhatsApp at enterprise scale.

Build multi-tenant analytics that isolate dealership data while enabling comparative insights.

Design and maintain robust data pipelines to support AI model training, dashboards, inference, integrations, etc.

AI/ML Data Support

Work with AI Engineers to build high-quality datasets for AI model training.

Participate in red teaming exercises to ensure consistent AI ecosystem performance.

Support data versioning and reproducibility for our AI ecosystem

PostgreSQL extensions and AI embeddings.

Webhook processing and API gateway design.

Design secure, multi-tenant data connectors for CRM, ERP, and other enterprise systems

Build real-time analytics pipelines to power client dashboards.

Ensure data security measures meet SOC2-Type2 standards.

Infrastructure & Optimization

Manage CI/CD pipelines for data workflows and infrastructure as code.

Monitor and optimize data pipeline performance for cost efficiency and speed.

Implement comprehensive data quality validation and monitoring systems.

Collaborate with engineering team on system architecture and scalability planning.

To Apply:

Send an email to with Subject Line “AI Data Engineer - [Your Name]”

Attach your resume and include examples of data pipelines or infrastructure you’ve built (GitHub links welcome)

REQUIRED QUALIFICATIONS

Technical Skills:

3+ years experience in data engineering, data architecture, or related fields.

Expert-level Python programming and advanced querying skills.

Hands-on experience with cloud platforms, specifically: AWS and GCP.

Production experience with big data technologies.

Database expertise with both SQL and NoSQL systems.

API development and integration experience.

Industry Experience (Preferred):

Building data pipelines and integrations into CRM platforms (Salesforce, HubSpot, Zoho) and their APIs

Understanding of conversation AI and voice processing pipelines

Experience with telecommunications APIs

Soft Skills:

Collaborative mindset with excellent communication skills.

Growth-oriented with appetite for learning emerging technologies.

Systematic thinking with attention to detail and process-driven approach.

Adaptable and resilient in a fast-paced startup environment.

Problem-solving mindset with customer-focused approach.

Preferred Qualifications

Startup experience in high-growth technology companies.

Background in enterprise B2B software or AI/ML applications.

Experience with data privacy compliance standards (GDPR, CCPA, SOC2-Type2).

WHAT WE OFFER

Competitive Base Pay.

Equity Package.

Performance Bonus.

Direct impact on product development and company strategy.

Professional development budget for conferences, courses, and certifications.

Mentorship opportunities with experienced tech executives from Amazon, Microsoft, etc.

Career advancement as we scale from