AI Data Engineer

Spiral Scout is a full-service software development company dedicated to transforming innovative ideas into digital realities. With our talented team and a global presence, we pride ourselves on delivering over 460 projects worldwide. Our comprehensive services range from IT staff augmentation and bespoke web development to cutting-edge web and mobile design, all tailored to meet the unique needs of each client.

We are looking for an AI Data Engineer who can combine data engineering with AI orchestration. Your core mission is to turn messy business processes and data into intelligent, automated systems. You’ll work at the intersection of data pipelines, APIs, and LLMs (ChatGPT, Claude, LangChain, n8n, Zapier, Make) - designing agent-driven workflows that actually solve real business problems.

If you have a background in Data Engineering or Data Science and have explored LLM/agentic systems, this role is for you. We start with a paid pilot project to test collaboration and then may extend into part-time or full-time engagement.

What You Will Do

• Build and maintain data pipelines (Python, SQL, ETL, APIs) to prepare structured and unstructured data for AI workflows.
• Translate client problems into orchestrated AI workflows, balancing automation and human-in-the-loop design.
• Configure multi-agent logic (planner/worker, feedback loops) using LangChain, Wippy, n8n, Zapier, Make, or custom Python code.
• Prototype and ship proof-of-concepts: onboarding bots, quoting assistants, presales flows, project management helpers.
• Facilitate scoping workshops with stakeholders to clarify requirements and design workflows.
• Collaborate with engineers and product leads to create reusable AI workflow templates and automation patterns.

Must-Have Skills

• Strong data engineering experience: Python + SQL, pipelines, ETL, API integrations.
• Experience working with data ahead of AI: cleaning, structuring, connecting multiple sources.
• Hands-on with AI tools: ChatGPT, Claude, LangChain, n8n, Zapier, Make, Autogen, or similar.
• Understanding of LLM orchestration beyond prompt engineering.
• Systems thinking: ability to design workflows with multiple agents, branching logic, loops, and state.
• Strong communication skills: able to explain AI/data concepts and lead workshops with technical and non-technical stakeholders.

Nice-to-Have

• Experience with agent-based frameworks (LangGraph, CrewAI, AutoGen).
• Designed human-in-the-loop workflows (customer support, onboarding, quoting, project management).
• Prototyping with low-code/no-code platforms (Zapier, Airtable, Streamlit, custom GPTs).
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Exposure to ML practices (fine-tuning, RAG, evaluation, multimodal inputs).

What We Offer

• Start with a paid pilot project to evaluate collaboration.
• Work at the cutting edge of AI workflows and data-driven automation.
• Fully remote, flexible schedule.
• Fast-moving, innovation-driven culture where ideas quickly turn into practice.
• Pathway to extended part-time or full-time engagement.