Job Title: AI Data Scientist / Engineer (AI-Native & Agentic Systems)

Location: Remote / Hybrid

Employment Type: Full-Time

About the Role

We are building a next-generation AI-driven data platform that transforms large, complex datasets into intelligent, automated systems.

We are looking for a top-tier AI Data Engineer who can design and build end-to-end data, visualization, and agentic AI systems from raw data ingestion to autonomous AI workflows powering real product features.

This is not a traditional data science role. You will build production systems that combine data infrastructure, visual analytics, and AI agents capable of reasoning over data and executing complex workflows.

What You’ll Work On

You will build systems that:

  • Ingest and process large-scale structured and unstructured datasets
  • Transform raw data into structured data models and feature pipelines
  • Enable natural language interfaces to data
  • Power AI agents capable of querying data, generating insights, and executing workflows
  • Automate analytics pipelines that move from data → reasoning → action

Responsibilities

Build Data Infrastructure

  • Design scalable data pipelines and ETL/ELT systems
  • Integrate data from APIs, files, databases, and external systems
  • Design and maintain data models and data warehouses
  • Ensure data quality, reliability, and performance across systems
  • Build infrastructure that supports ML and AI workloads

Build ML, AI, and Agentic Systems

  • Design and deploy data models and pipelines
  • Build AI-powered systems combining data models, data pipelines, and LLMs
  • Develop agentic AI systems capable of autonomously performing multi-step tasks
  • Implement AI agents that can:
    • query databases
    • analyze datasets
    • generate code
    • produce reports and insights
    • execute workflows across APIs and internal tools
  • Build natural language interfaces to data platforms
  • Design tool-using agents that interact with databases, APIs, analytics engines, and external services
  • Implement planning and reasoning loops (plan → execute → evaluate → iterate)
  • Develop monitoring, guardrails, and evaluation frameworks for agent reliability and safety
  • Optimize AI systems for performance, cost efficiency, and production reliability

What We’re Looking For

We are looking for engineers who can build and ship AI-native systems.

Core Skills

  • Strong Python engineering skills
  • Advanced SQL and data modeling
  • Experience building data pipelines and ETL workflows
  • Experience deploying agentic systems in production
  • Geospatial analytics
  • Real-time data pipelines
  • Attribution or media analytics
  • LLM-powered data query systems
  • Multi-agent AI architectures
  • Large-scale analytics platforms

AI-Native Development

Experience with AI-augmented development tools such as:

  • OpenAI Codex
  • Anthropic Claude
  • Google Gemini
  • or comparable LLM-based development environments

Ability to leverage AI tools to accelerate engineering workflows.

Infrastructure Experience

Experience with some of the following:

  • Snowflake / BigQuery / Redshift
  • Spark or distributed data processing frameworks
  • Airflow / Prefect / Dagster
  • Docker / containerized deployments
  • Cloud platforms (AWS, GCP, Azure)
  • REST APIs and microservices

The Kind of Engineer Who Thrives Here

You may be a strong fit if you:

  • Think in systems and architectures, not just scripts
  • Prefer building real production products
  • Use AI tools to move 10-100x faster
  • Enjoy solving complex data problems
  • Are excited about building autonomous AI systems

Why This Role

  • Build AI-native and agentic data infrastructure from the ground up
  • Work on large real-world datasets
  • Small international team, large impact
  • Opportunity to shape the AI and data architecture of the platform

Contact:
Alex Glinka, Chief Product Officer
Chameleon Digital Media

Email: Contact@Dalatytica.co
LinkedIn: https://www.linkedin.com/in/alexglinka/